{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Beyond Standardization: A Comprehensive Review of Topic Modeling Validation Methods for Computational Social Science Research\n",
    "**Analysis Replication File**\n",
    "\n",
    "This jupyter notebook runs all the analysis steps that have been taken to get the descriptive numbers and visualizations. Please note that graphs might look different on your machine, depending on your settings.\n",
    "The code is not commented on in detail, however, the headings should give an insight into what the code is doing. The variable labels have been given during coding, so some of them are not as readable as others. \n",
    "In case there are any errors or inconsistencies please contact [the authors]. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Machine information: Operating System and RAM for the machine that ran the replication.*\n",
    "- RAM 16GB\n",
    "- Apple M1\n",
    "- macOS 15.4.1\n",
    "\n",
    "*Software information: software versions and all package versions used.*\n",
    "- python 3.9\n",
    "- pandas: 2.2.3\n",
    "- scipy: 1.13.1\n",
    "- numpy: 1.26.4\n",
    "- seaborn: 0.13.12\n",
    "- matplotlib: 3.9.4\n",
    "- pywaffel: 1.1.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load all required packages\n",
    "\n",
    "# for data handling\n",
    "import pandas as pd\n",
    "\n",
    "# for analysis\n",
    "from scipy.stats import entropy\n",
    "import numpy as np\n",
    "import itertools\n",
    "from itertools import combinations\n",
    "\n",
    "\n",
    "# for plotting\n",
    "import seaborn as sns\n",
    "sns.set(context='paper', \n",
    "        style='whitegrid', \n",
    "        font_scale=1.2, \n",
    "        rc={'figure.figsize':(14,7),\n",
    "            'font.family':'sans-serif', \n",
    "            'font.size':15, \n",
    "            'axes.titlesize':15, \n",
    "            'axes.labelsize':10})\n",
    "\n",
    "colors = ['#0063A6',  '#A71C49', '#DD4814', '#F6A800', '#94C154', '#11897A', '#C589E8', '#666666']\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as mtick\n",
    "\n",
    "import pywaffle\n",
    "from pywaffle import Waffle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall we have 789 articles in our sample.\n",
      "For some graphs we will only look at more recent papers, the number of studies published since 2011 is: 750\n"
     ]
    }
   ],
   "source": [
    "# Load dataset\n",
    "path_to_dataset = 'ReplicationDataset.csv'\n",
    "df = pd.read_csv(path_to_dataset, sep=';')\n",
    "print(\"Overall we have\", len(df), \"articles in our sample.\")\n",
    "\n",
    "rows_count = df[df['Year'] >= 2011].shape[0]\n",
    "print(f\"For some graphs we will only look at more recent papers, the number of studies published since 2011 is: {rows_count}\")\n",
    "\n",
    "# fill empty cells with 0\n",
    "methods = ['Cross-Validation',\n",
    "       'diffMethods', 'Split Train Test Set', 'Baseline Model',\n",
    "       'CHI (Calinski-Harabarz Index)', 'Coherence', 'Exclusivity', 'Purity',\n",
    "       'Cohesion', 'Topic Uniqueness (TU)', 'Downstream Tasks', 'Accuracy',\n",
    "       'AUC-ROC', 'Error 1 & 2', 'F-Score', 'Fowlkes and Mallows Index (FMI)',\n",
    "       'Homogeneity Index', 'Mean Absolute Deviation (MAD)',\n",
    "       'Mean Absolute Error (MAE)', 'Mean Squared Error (MSE)',\n",
    "       'Precision & Recall',\n",
    "       'Recall-Oriented Understudy for Gisting Evaluation (ROUGE)',\n",
    "       'Root Mean Scared Error (RMSE)', 'Completeness', 'Experts',\n",
    "       'Human Analysis', 'Human Topic Interpretation',\n",
    "       'Theoretical Considerations', 'Top Documents', 'Topic Labeling',\n",
    "       'Word Intrusion', 'Real Life Dynamics', 'Topic Intrusion', 'Entropy',\n",
    "       'Jensen-Shannon Divergence (JSD)', 'Kullback–Leibler Divergence (KL)',\n",
    "       'Mutual Information (MI)', 'Perplexity',\n",
    "       'Variation of Information (VI)', 'Information Retrieval (IR)',\n",
    "       'Akaike Information Criterion (AIC)', 'Information Gain (IG)',\n",
    "       'Cluster Distance', 'DBI (Davies-Bouldin Index)', 'ARI',\n",
    "       'Jaccard Coefficient', 'Silhouette', 'Similarity']\n",
    "df[methods] = df[methods].fillna(0)\n",
    "\n",
    "# add categories\n",
    "df['ComparingMethods'] = df['Cross-Validation'] + df['diffMethods'] + df['Split Train Test Set'] + df['Baseline Model']\n",
    "df['Distinctivness'] = df['Coherence'] + df['Exclusivity'] + df['Purity']\n",
    "df['Downstream'] = df['Downstream Tasks']\n",
    "df['ErrorRateAnalysis'] = df['Accuracy'] + df['AUC-ROC'] + df['Error 1 & 2'] + df['F-Score'] + df['Mean Absolute Error (MAE)'] + df['Mean Squared Error (MSE)']  + df['Precision & Recall'] + df['Recall-Oriented Understudy for Gisting Evaluation (ROUGE)'] + df['Root Mean Scared Error (RMSE)']\n",
    "df['Human_int'] = df['Experts'] + df['Human Topic Interpretation'] + df['Top Documents'] + df['Topic Labeling'] + df['Word Intrusion']\n",
    "df['Human_ext'] = df['Human Analysis'] + df['Theoretical Considerations'] + df['Real Life Dynamics']\n",
    "df['Info'] = df['Entropy'] + df['Jensen-Shannon Divergence (JSD)'] + df['Kullback–Leibler Divergence (KL)'] + df['Perplexity']\n",
    "df['Similar'] = df['Jaccard Coefficient'] + df['Silhouette'] + df['Similarity']\n",
    "\n",
    "categories = ['ComparingMethods', 'Distinctivness', 'Downstream', 'ErrorRateAnalysis', 'Human_int', 'Human_ext', 'Similar', 'Info']\n",
    "\n",
    "\n",
    "# Add binary categories \n",
    "df['binary_ComparingMethods'] = (df['Cross-Validation'] + df['diffMethods'] + df['Split Train Test Set'] + df['Baseline Model']).apply(lambda x: 0 if x == 0 else 1)\n",
    "df['binary_Distinctivness'] = (df['Coherence'] + df['Exclusivity'] + df['Purity']).apply(lambda x: 0 if x == 0 else 1)\n",
    "df['binary_Downstream'] = (df['Downstream Tasks']).apply(lambda x: 0 if x == 0 else 1)\n",
    "df['binary_ErrorRateAnalysis'] = (df['Accuracy'] + df['AUC-ROC'] + df['Error 1 & 2'] + df['F-Score'] + df['Mean Absolute Error (MAE)'] + df['Mean Squared Error (MSE)']  + df['Precision & Recall'] + df['Recall-Oriented Understudy for Gisting Evaluation (ROUGE)'] + df['Root Mean Scared Error (RMSE)']).apply(lambda x: 0 if x == 0 else 1)\n",
    "df['binary_Human_int'] = (df['Experts'] + df['Human Topic Interpretation'] + df['Top Documents'] + df['Topic Labeling'] + df['Word Intrusion']).apply(lambda x: 0 if x == 0 else 1)\n",
    "df['binary_Human_ext'] = (df['Human Analysis'] + df['Theoretical Considerations'] + df['Real Life Dynamics']).apply(lambda x: 0 if x == 0 else 1)\n",
    "df['binary_Info'] = (df['Entropy'] + df['Jensen-Shannon Divergence (JSD)'] + df['Kullback–Leibler Divergence (KL)'] + df['Perplexity']).apply(lambda x: 0 if x == 0 else 1)\n",
    "df['binary_Similar'] = (df['Jaccard Coefficient'] + df['Silhouette'] + df['Similarity']).apply(lambda x: 0 if x == 0 else 1)\n",
    "\n",
    "binary_categories = ['binary_ComparingMethods', 'binary_Human_int', 'binary_ErrorRateAnalysis', 'binary_Downstream', 'binary_Info', 'binary_Human_ext', 'binary_Distinctivness', 'binary_Similar']\n",
    "\n",
    "# add needed counters\n",
    "df['method_count'] = df[methods].sum(axis=1)\n",
    "df['category_count'] = df[categories].sum(axis = 1, numeric_only=True)\n",
    "df['binary_category_count'] = df[binary_categories].sum(axis = 1, numeric_only=True)\n",
    "\n",
    "\n",
    "# add needed subsets\n",
    "substantive_df = df[df['Substantive'] == 1]\n",
    "methodological_df = df[df['Methodological'] == 1]\n",
    "core_sosci_df = df[df['Field'] == 'Social Science']\n",
    "peripheral_sosci_df = df[df['Field'] != 'Social Science']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "     index  RfE  Year  Methodological  Substantive  Multigoal  \\\n",
       "0        1    0  2016             0.0            1          1   \n",
       "1        4    0  2020             0.0            1          1   \n",
       "2        5    0  2020             0.0            1          1   \n",
       "3        6    0  2010             0.0            1          1   \n",
       "4        8    0  2019             0.0            1          1   \n",
       "..     ...  ...   ...             ...          ...        ...   \n",
       "784   1550    0  2021             1.0            0          1   \n",
       "785   1551    0  2014             0.0            1          1   \n",
       "786   1553    0  2015             0.0            1          1   \n",
       "787   1555    0  2016             1.0            0          1   \n",
       "788   1556    0  2016             1.0            0          1   \n",
       "\n",
       "                                           Publication Publication-short  \\\n",
       "0    IEEE INTERNATIONAL REQUIREMENTS ENGINEERING CO...                 C   \n",
       "1    International Conference on Mining Software Re...                 C   \n",
       "2           International Conference on World Wide Web                 C   \n",
       "3                          ACM Transactions on the Web                 J   \n",
       "4    International Conference on Artificial Intelli...                 C   \n",
       "..                                                 ...               ...   \n",
       "784                   Expert Systems with Applications                 J   \n",
       "785                       DATA & KNOWLEDGE ENGINEERING                 J   \n",
       "786  Working Conference on Mining Software Reposito...                 C   \n",
       "787  ACM SIGKDD International Conference on Knowled...                 C   \n",
       "788                  KNOWLEDGE AND INFORMATION SYSTEMS                 J   \n",
       "\n",
       "     Citations2024  age  ... binary_Distinctivness binary_Downstream  \\\n",
       "0             24.0    8  ...                     0                 0   \n",
       "1            155.0    4  ...                     1                 0   \n",
       "2             17.0    4  ...                     1                 0   \n",
       "3             10.0   14  ...                     0                 0   \n",
       "4              4.0    5  ...                     0                 0   \n",
       "..             ...  ...  ...                   ...               ...   \n",
       "784            8.0    3  ...                     0                 0   \n",
       "785           52.0   10  ...                     0                 1   \n",
       "786           64.0    9  ...                     0                 0   \n",
       "787          238.0    8  ...                     1                 0   \n",
       "788          253.0    8  ...                     1                 1   \n",
       "\n",
       "     binary_ErrorRateAnalysis  binary_Human_int  binary_Human_ext  \\\n",
       "0                           0                 1                 0   \n",
       "1                           0                 1                 0   \n",
       "2                           0                 1                 0   \n",
       "3                           0                 1                 1   \n",
       "4                           0                 1                 1   \n",
       "..                        ...               ...               ...   \n",
       "784                         1                 0                 0   \n",
       "785                         0                 0                 0   \n",
       "786                         1                 1                 0   \n",
       "787                         1                 0                 0   \n",
       "788                         1                 0                 0   \n",
       "\n",
       "     binary_Info  binary_Similar  method_count  category_count  \\\n",
       "0              0               0           3.0             2.0   \n",
       "1              0               1           5.0             5.0   \n",
       "2              0               0           3.0             3.0   \n",
       "3              0               0           3.0             3.0   \n",
       "4              0               0           2.0             2.0   \n",
       "..           ...             ...           ...             ...   \n",
       "784            0               0           4.0             4.0   \n",
       "785            0               0           2.0             2.0   \n",
       "786            0               0           3.0             3.0   \n",
       "787            0               0           5.0             5.0   \n",
       "788            0               0           7.0             7.0   \n",
       "\n",
       "     binary_category_count  \n",
       "0                        1  \n",
       "1                        3  \n",
       "2                        3  \n",
       "3                        2  \n",
       "4                        2  \n",
       "..                     ...  \n",
       "784                      2  \n",
       "785                      2  \n",
       "786                      3  \n",
       "787                      3  \n",
       "788                      4  \n",
       "\n",
       "[789 rows x 80 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The average study uses 4.07 validation methods.\n",
      "The average study uses 2.78 binary validation categories.\n",
      "\n",
      "The average substantive study uses 3.74 validation methods.\n",
      "The average substantive study uses 2.67 binary validation categories.\n",
      "\n",
      "The average methodological study uses 4.34 validation methods.\n",
      "The average methodological study uses 2.88 binary validation categories.\n",
      "\n",
      "The average core social science study uses 3.61 validation methods.\n",
      "The average core social science study uses 2.50 binary validation categories.\n",
      "\n",
      "The average peripheral social science study uses 4.16 validation methods.\n",
      "The average peripheral social science study uses 2.84 binary validation categories.\n",
      "\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## get overview over how many methods a study uses\n",
    "\n",
    "# raw numbers\n",
    "print(f'The average study uses {df[\"method_count\"].mean():.2f} validation methods.\\n'\n",
    "      f'The average study uses {df[\"binary_category_count\"].mean():.2f} binary validation categories.\\n')\n",
    "\n",
    "# Print the averages for each subset\n",
    "print(f'The average substantive study uses {substantive_df[\"method_count\"].mean():.2f} validation methods.\\n'\n",
    "      f'The average substantive study uses {substantive_df[\"binary_category_count\"].mean():.2f} binary validation categories.\\n')\n",
    "\n",
    "print(f'The average methodological study uses {methodological_df[\"method_count\"].mean():.2f} validation methods.\\n'\n",
    "      f'The average methodological study uses {methodological_df[\"binary_category_count\"].mean():.2f} binary validation categories.\\n')\n",
    "\n",
    "print(f'The average core social science study uses {core_sosci_df[\"method_count\"].mean():.2f} validation methods.\\n'\n",
    "      f'The average core social science study uses {core_sosci_df[\"binary_category_count\"].mean():.2f} binary validation categories.\\n')\n",
    "\n",
    "print(f'The average peripheral social science study uses {peripheral_sosci_df[\"method_count\"].mean():.2f} validation methods.\\n'\n",
    "      f'The average peripheral social science study uses {peripheral_sosci_df[\"binary_category_count\"].mean():.2f} binary validation categories.\\n')\n",
    "\n",
    "\n",
    "# Plot 1: Substantive vs. Methodological Studies Over Time\n",
    "df_year = df['Year'].value_counts().sort_index()\n",
    "df_fields = pd.DataFrame({\n",
    "    'substantive studies': df['Substantive'], \n",
    "    'methodological studies': df['Methodological'], \n",
    "    'Year': df['Year']\n",
    "})\n",
    "tab = df_fields.groupby('Year').sum()\n",
    "tab['all studies'] = df_year\n",
    "tab = tab[['all studies', 'substantive studies', 'methodological studies']].drop(2022)\n",
    "\n",
    "plt.figure()  # Create a new figure for the first plot\n",
    "vis1 = sns.lineplot(data=tab['all studies'], label='Full Set of Studies', linewidth=1.5, linestyle='-')\n",
    "sns.lineplot(data=tab['substantive studies'], label='Substantive Studies', linewidth=1.5, linestyle='--', ax=vis1)\n",
    "sns.lineplot(data=tab['methodological studies'], label='Methodological Studies', linewidth=1.5, linestyle=':', ax=vis1)\n",
    "vis1.set_xticks(range(2004, 2022, 2))\n",
    "vis1.set_yticks(range(0, 120, 10))\n",
    "vis1.set(xlabel=None, ylabel=None)\n",
    "fig1 = vis1.get_figure()\n",
    "fig1.savefig('overtime_numberOfStudies.png', bbox_inches='tight')\n",
    "\n",
    "# Plot 2: Core vs. Peripheral Social Sciences Over Time\n",
    "core_sosci_counts = core_sosci_df.groupby('Year').size()\n",
    "peripheral_sosci_counts = peripheral_sosci_df.groupby('Year').size()\n",
    "tab_core_peripheral = pd.DataFrame({\n",
    "    'Core Social Sciences': core_sosci_counts, \n",
    "    'Peripheral Social Sciences': peripheral_sosci_counts\n",
    "})\n",
    "tab_core_peripheral['all studies'] = df_year\n",
    "tab_core_peripheral = tab_core_peripheral[['all studies', 'Core Social Sciences', 'Peripheral Social Sciences']].drop(2022)\n",
    "\n",
    "plt.figure()  # Create a new figure for the second plot\n",
    "core_color = colors[3]  \n",
    "peripheral_color = colors[3]  \n",
    "vis2 = sns.lineplot(data=tab_core_peripheral['all studies'], label='Full Set of Studies', linewidth=1.5, linestyle='-')\n",
    "sns.lineplot(data=tab_core_peripheral['Core Social Sciences'], label='Core Social Sciences', linewidth=1.5, linestyle='--', color=core_color, ax=vis2)\n",
    "sns.lineplot(data=tab_core_peripheral['Peripheral Social Sciences'], label='Peripheral Social Sciences', linewidth=1.5, linestyle=':', color=peripheral_color, ax=vis2)\n",
    "vis2.set_xticks(range(2004, 2022, 2))\n",
    "vis2.set_yticks(range(0, 100, 10))\n",
    "vis2.set(xlabel=None, ylabel=None)\n",
    "fig2 = vis2.get_figure()\n",
    "fig2.savefig('overtime_core_vs_peripheral_social_sciences.png', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall: \n",
      " Publication\n",
      "ACM International Conference on Information and Knowledge Management          38\n",
      "International Conference on World Wide Web                                    34\n",
      "ACM SIGKDD International Conference on Knowledge Discovery and Data Mining    25\n",
      "ACM SIGIR Conference on Research and Development in Information Retrieval     22\n",
      "ACM International Conference on Web Search and Data Mining                    18\n",
      "Conference on Empirical Methods in Natural Language Processing                 9\n",
      "ACM Transactions on Knowledge Discovery from Data                              9\n",
      "IEEE ACCESS                                                                    9\n",
      "ACM Transactions on Intelligent Systems and Technology                         9\n",
      "ACM Transactions on Information Systems                                        8\n",
      "Name: count, dtype: int64 \n",
      "\n",
      "Journals: \n",
      " Publication\n",
      "IEEE ACCESS                                                        9\n",
      "ACM Transactions on Intelligent Systems and Technology             9\n",
      "ACM Transactions on Knowledge Discovery from Data                  9\n",
      "ACM Transactions on Information Systems                            8\n",
      "International Journal of Communication                             8\n",
      "Journal of Machine Learning Research                               8\n",
      "Communication Methods & Measures                                   7\n",
      "IEEE/ACM Transactions on Audio, Speech, and Language Processing    7\n",
      "Political Communication                                            6\n",
      "Marketing Science                                                  6\n",
      "Name: count, dtype: int64 \n",
      "\n",
      "Conferences: \n",
      " Publication\n",
      "ACM International Conference on Information and Knowledge Management                    38\n",
      "International Conference on World Wide Web                                              34\n",
      "ACM SIGKDD International Conference on Knowledge Discovery and Data Mining              25\n",
      "ACM SIGIR Conference on Research and Development in Information Retrieval               22\n",
      "ACM International Conference on Web Search and Data Mining                              18\n",
      "Conference on Empirical Methods in Natural Language Processing                           9\n",
      "ACM Conference on Web Science                                                            7\n",
      "ACM Conference on Computer Supported Cooperative Work and Social Computing               5\n",
      "IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining     5\n",
      "Annual Meeting of the Association for Computational Linguistics                          5\n",
      "Name: count, dtype: int64 \n",
      "\n",
      "Core Social Science: \n",
      " Publication\n",
      "International Journal of Communication                     8\n",
      "Communication Methods & Measures                           7\n",
      "Marketing Science                                          6\n",
      "Political Communication                                    6\n",
      "Environmental Communication                                4\n",
      "Journalism Studies                                         4\n",
      "Journal of Broadcasting & Electronic Media                 3\n",
      "International Conference on Social Media and Society       2\n",
      "American Sociological Review                               2\n",
      "International Conference on Digital Government Research    2\n",
      "Name: count, dtype: int64 \n",
      "\n",
      "Peripheral Social Science: \n",
      " Publication\n",
      "ACM International Conference on Information and Knowledge Management          38\n",
      "International Conference on World Wide Web                                    34\n",
      "ACM SIGKDD International Conference on Knowledge Discovery and Data Mining    25\n",
      "ACM SIGIR Conference on Research and Development in Information Retrieval     22\n",
      "ACM International Conference on Web Search and Data Mining                    18\n",
      "ACM Transactions on Knowledge Discovery from Data                              9\n",
      "ACM Transactions on Intelligent Systems and Technology                         9\n",
      "IEEE ACCESS                                                                    9\n",
      "Conference on Empirical Methods in Natural Language Processing                 9\n",
      "ACM Transactions on Information Systems                                        8\n",
      "Name: count, dtype: int64 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "### Print an Overview of the most frequent publication spots:\n",
    "\n",
    "print('Overall: \\n', df.Publication.value_counts().head(10), '\\n')\n",
    "\n",
    "df_journals = df[df['Publication-short']== 'J']\n",
    "print('Journals: \\n', df_journals.Publication.value_counts().head(10), '\\n')\n",
    "\n",
    "df_conf = df[df['Publication-short']== 'C']\n",
    "print('Conferences: \\n', df_conf.Publication.value_counts().head(10), '\\n')\n",
    "\n",
    "print('Core Social Science: \\n', core_sosci_df.Publication.value_counts().head(10), '\\n')\n",
    "\n",
    "print('Peripheral Social Science: \\n', peripheral_sosci_df.Publication.value_counts().head(10), '\\n')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Journals: Absolute = 362, Frequency = 45.88%\n",
      "Conferences: Absolute = 426, Frequency = 53.99%\n"
     ]
    }
   ],
   "source": [
    "### Get an Overview of the Frequencies\n",
    "\n",
    "publication_counts = df['Publication-short'].value_counts()\n",
    "publication_frequencies = df['Publication-short'].value_counts(normalize=True)\n",
    "\n",
    "j_count = publication_counts.get('J', 0)  \n",
    "j_frequency = publication_frequencies.get('J', 0) \n",
    "\n",
    "c_count = publication_counts.get('C', 0) \n",
    "c_frequency = publication_frequencies.get('C', 0)  \n",
    "\n",
    "\n",
    "print(f\"Journals: Absolute = {j_count}, Frequency = {j_frequency:.2%}\")\n",
    "print(f\"Conferences: Absolute = {c_count}, Frequency = {c_frequency:.2%}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Method: Cross-Validation\n",
      "----------------------------------------\n",
      "Cross-Validation\n",
      "0.0    695\n",
      "1.0     91\n",
      "2.0      3\n",
      "----------------------------------------\n",
      "\n",
      "Method: diffMethods\n",
      "----------------------------------------\n",
      "diffMethods\n",
      "0.0    575\n",
      "1.0    214\n",
      "----------------------------------------\n",
      "\n",
      "Method: Split Train Test Set\n",
      "----------------------------------------\n",
      "Split Train Test Set\n",
      "0.0    486\n",
      "1.0    301\n",
      "2.0      2\n",
      "----------------------------------------\n",
      "\n",
      "Method: Baseline Model\n",
      "----------------------------------------\n",
      "Baseline Model\n",
      "0.0    661\n",
      "1.0    110\n",
      "2.0     17\n",
      "3.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: CHI (Calinski-Harabarz Index)\n",
      "----------------------------------------\n",
      "CHI (Calinski-Harabarz Index)\n",
      "0.0    784\n",
      "1.0      5\n",
      "----------------------------------------\n",
      "\n",
      "Method: Coherence\n",
      "----------------------------------------\n",
      "Coherence\n",
      "0.0    620\n",
      "1.0    122\n",
      "2.0     36\n",
      "3.0      7\n",
      "4.0      1\n",
      "5.0      3\n",
      "----------------------------------------\n",
      "\n",
      "Method: Exclusivity\n",
      "----------------------------------------\n",
      "Exclusivity\n",
      "0.0    763\n",
      "1.0     26\n",
      "----------------------------------------\n",
      "\n",
      "Method: Purity\n",
      "----------------------------------------\n",
      "Purity\n",
      "0.0    775\n",
      "1.0     14\n",
      "----------------------------------------\n",
      "\n",
      "Method: Cohesion\n",
      "----------------------------------------\n",
      "Cohesion\n",
      "0.0    788\n",
      "1.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Topic Uniqueness (TU)\n",
      "----------------------------------------\n",
      "Topic Uniqueness (TU)\n",
      "0.0    784\n",
      "1.0      5\n",
      "----------------------------------------\n",
      "\n",
      "Method: Downstream Tasks\n",
      "----------------------------------------\n",
      "Downstream Tasks\n",
      "0.0    469\n",
      "1.0    307\n",
      "2.0     12\n",
      "3.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Accuracy\n",
      "----------------------------------------\n",
      "Accuracy\n",
      "0.0    652\n",
      "1.0    135\n",
      "2.0      2\n",
      "----------------------------------------\n",
      "\n",
      "Method: AUC-ROC\n",
      "----------------------------------------\n",
      "AUC-ROC\n",
      "0.0    764\n",
      "1.0     21\n",
      "2.0      3\n",
      "3.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Error 1 & 2\n",
      "----------------------------------------\n",
      "Error 1 & 2\n",
      "0.0    777\n",
      "1.0      5\n",
      "2.0      6\n",
      "5.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: F-Score\n",
      "----------------------------------------\n",
      "F-Score\n",
      "0.0    654\n",
      "1.0    131\n",
      "2.0      4\n",
      "----------------------------------------\n",
      "\n",
      "Method: Fowlkes and Mallows Index (FMI)\n",
      "----------------------------------------\n",
      "Fowlkes and Mallows Index (FMI)\n",
      "0.0    785\n",
      "1.0      3\n",
      "2.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Homogeneity Index\n",
      "----------------------------------------\n",
      "Homogeneity Index\n",
      "0.0    783\n",
      "1.0      6\n",
      "----------------------------------------\n",
      "\n",
      "Method: Mean Absolute Deviation (MAD)\n",
      "----------------------------------------\n",
      "Mean Absolute Deviation (MAD)\n",
      "0.0    786\n",
      "1.0      3\n",
      "----------------------------------------\n",
      "\n",
      "Method: Mean Absolute Error (MAE)\n",
      "----------------------------------------\n",
      "Mean Absolute Error (MAE)\n",
      "0.0    779\n",
      "1.0      9\n",
      "2.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Mean Squared Error (MSE)\n",
      "----------------------------------------\n",
      "Mean Squared Error (MSE)\n",
      "0.0    780\n",
      "1.0      9\n",
      "----------------------------------------\n",
      "\n",
      "Method: Precision & Recall\n",
      "----------------------------------------\n",
      "Precision & Recall\n",
      "0.0    590\n",
      "1.0    167\n",
      "2.0     23\n",
      "3.0      6\n",
      "4.0      3\n",
      "----------------------------------------\n",
      "\n",
      "Method: Recall-Oriented Understudy for Gisting Evaluation (ROUGE)\n",
      "----------------------------------------\n",
      "Recall-Oriented Understudy for Gisting Evaluation (ROUGE)\n",
      "0.0    778\n",
      "1.0     11\n",
      "----------------------------------------\n",
      "\n",
      "Method: Root Mean Scared Error (RMSE)\n",
      "----------------------------------------\n",
      "Root Mean Scared Error (RMSE)\n",
      "0.0    776\n",
      "1.0     12\n",
      "2.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Completeness\n",
      "----------------------------------------\n",
      "Completeness\n",
      "0.0    784\n",
      "1.0      5\n",
      "----------------------------------------\n",
      "\n",
      "Method: Experts\n",
      "----------------------------------------\n",
      "Experts\n",
      "0.0    754\n",
      "1.0     34\n",
      "2.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Human Analysis\n",
      "----------------------------------------\n",
      "Human Analysis\n",
      "0.0    712\n",
      "1.0     69\n",
      "2.0      8\n",
      "----------------------------------------\n",
      "\n",
      "Method: Human Topic Interpretation\n",
      "----------------------------------------\n",
      "Human Topic Interpretation\n",
      "0.0    602\n",
      "1.0    170\n",
      "2.0     13\n",
      "3.0      2\n",
      "4.0      1\n",
      "5.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Theoretical Considerations\n",
      "----------------------------------------\n",
      "Theoretical Considerations\n",
      "0.0    714\n",
      "1.0     74\n",
      "2.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Top Documents\n",
      "----------------------------------------\n",
      "Top Documents\n",
      "0.0    738\n",
      "1.0     51\n",
      "----------------------------------------\n",
      "\n",
      "Method: Topic Labeling\n",
      "----------------------------------------\n",
      "Topic Labeling\n",
      "0.0    479\n",
      "1.0    301\n",
      "2.0      8\n",
      "3.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Word Intrusion\n",
      "----------------------------------------\n",
      "Word Intrusion\n",
      "0.0    773\n",
      "1.0     16\n",
      "----------------------------------------\n",
      "\n",
      "Method: Real Life Dynamics\n",
      "----------------------------------------\n",
      "Real Life Dynamics\n",
      "0.0    741\n",
      "1.0     47\n",
      "2.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Topic Intrusion\n",
      "----------------------------------------\n",
      "Topic Intrusion\n",
      "0.0    784\n",
      "1.0      5\n",
      "----------------------------------------\n",
      "\n",
      "Method: Entropy\n",
      "----------------------------------------\n",
      "Entropy\n",
      "0.0    778\n",
      "1.0     11\n",
      "----------------------------------------\n",
      "\n",
      "Method: Jensen-Shannon Divergence (JSD)\n",
      "----------------------------------------\n",
      "Jensen-Shannon Divergence (JSD)\n",
      "0.0    765\n",
      "1.0     22\n",
      "2.0      2\n",
      "----------------------------------------\n",
      "\n",
      "Method: Kullback–Leibler Divergence (KL)\n",
      "----------------------------------------\n",
      "Kullback–Leibler Divergence (KL)\n",
      "0.0    753\n",
      "1.0     35\n",
      "2.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Mutual Information (MI)\n",
      "----------------------------------------\n",
      "Mutual Information (MI)\n",
      "0.0    784\n",
      "1.0      4\n",
      "2.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Perplexity\n",
      "----------------------------------------\n",
      "Perplexity\n",
      "0.0    645\n",
      "1.0    139\n",
      "2.0      5\n",
      "----------------------------------------\n",
      "\n",
      "Method: Variation of Information (VI)\n",
      "----------------------------------------\n",
      "Variation of Information (VI)\n",
      "0.0    784\n",
      "1.0      5\n",
      "----------------------------------------\n",
      "\n",
      "Method: Information Retrieval (IR)\n",
      "----------------------------------------\n",
      "Information Retrieval (IR)\n",
      "0.0    788\n",
      "1.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Akaike Information Criterion (AIC)\n",
      "----------------------------------------\n",
      "Akaike Information Criterion (AIC)\n",
      "0.0    786\n",
      "1.0      3\n",
      "----------------------------------------\n",
      "\n",
      "Method: Information Gain (IG)\n",
      "----------------------------------------\n",
      "Information Gain (IG)\n",
      "0.0    784\n",
      "1.0      4\n",
      "2.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Cluster Distance\n",
      "----------------------------------------\n",
      "Cluster Distance\n",
      "0.0    786\n",
      "1.0      2\n",
      "2.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: DBI (Davies-Bouldin Index)\n",
      "----------------------------------------\n",
      "DBI (Davies-Bouldin Index)\n",
      "0.0    783\n",
      "1.0      6\n",
      "----------------------------------------\n",
      "\n",
      "Method: ARI\n",
      "----------------------------------------\n",
      "ARI\n",
      "0.0    783\n",
      "1.0      6\n",
      "----------------------------------------\n",
      "\n",
      "Method: Jaccard Coefficient\n",
      "----------------------------------------\n",
      "Jaccard Coefficient\n",
      "0.0    776\n",
      "1.0     13\n",
      "----------------------------------------\n",
      "\n",
      "Method: Silhouette\n",
      "----------------------------------------\n",
      "Silhouette\n",
      "0.0    775\n",
      "1.0     13\n",
      "2.0      1\n",
      "----------------------------------------\n",
      "\n",
      "Method: Similarity\n",
      "----------------------------------------\n",
      "Similarity\n",
      "0.0    744\n",
      "1.0     38\n",
      "2.0      7\n",
      "----------------------------------------\n"
     ]
    }
   ],
   "source": [
    "### Insights into use of individual methods:\n",
    "\n",
    "separator = '-' * 40\n",
    "for v in methods:\n",
    "    print(f\"\\nMethod: {v}\\n{separator}\")\n",
    "    print(df[v].value_counts().sort_index().to_string())\n",
    "    print(separator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Validation Categories Summary\n",
      "----------------------------------------\n",
      "ComparingMethods: 763.0\n",
      "Distinctivness: 274.0\n",
      "Downstream: 334.0\n",
      "ErrorRateAnalysis: 618.0\n",
      "Human_ext: 210.0\n",
      "Human_int: 634.0\n",
      "Info: 223.0\n",
      "Similar: 80.0\n",
      "----------------------------------------\n",
      "\n",
      "Binary Validation Categories Summary\n",
      "----------------------------------------\n",
      "binary_ComparingMethods: 483\n",
      "binary_Distinctivness: 176\n",
      "binary_Downstream: 320\n",
      "binary_ErrorRateAnalysis: 351\n",
      "binary_Human_ext: 177\n",
      "binary_Human_int: 428\n",
      "binary_Info: 191\n",
      "binary_Similar: 66\n",
      "----------------------------------------\n"
     ]
    }
   ],
   "source": [
    "### Insights into use of categories:\n",
    "\n",
    "sorted_categories = sorted(categories)\n",
    "\n",
    "print(\"\\nValidation Categories Summary\\n\" + separator)\n",
    "for c in sorted_categories:\n",
    "    print(f\"{c}: {df[c].sum()}\")\n",
    "print(separator)\n",
    "\n",
    "sorted_binary_categories = sorted(binary_categories)\n",
    "\n",
    "print(\"\\nBinary Validation Categories Summary\\n\" + separator)\n",
    "for c in sorted_binary_categories:\n",
    "    print(f\"{c}: {df[c].sum()}\")\n",
    "print(separator)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "### waffle plots\n",
    "df_binary_categories = pd.DataFrame({\n",
    "    'category': binary_categories,\n",
    "    'nonnullcount': df[binary_categories].sum(),\n",
    "})\n",
    "\n",
    "df_binary_categories['percentage'] = (df_binary_categories['nonnullcount'] / len(df)) * 100\n",
    "df_binary_categories['percentage'] = df_binary_categories['percentage'].round(1)\n",
    "\n",
    "# Set up custom color palette and category names\n",
    "colors = ['#0063A6',  '#A71C49', '#DD4814', '#F6A800', '#94C154', '#11897A', '#C589E8', '#666666']\n",
    "pal_ = list(sns.color_palette(colors).as_hex())\n",
    "cat_names = [\n",
    "    'Model Comparison', 'Internal Qualitative Inspection', 'Error Rate Analysis',\n",
    "    'Downstream Tasks', 'Information Theory Metrics', 'External Qualitative Inspection',\n",
    "    'Distinctivness of Topwords', 'Similarity and Distance Measures'\n",
    "]\n",
    "\n",
    "# Plot waffle charts for each category\n",
    "plt.rcParams['savefig.facecolor'] = 'white'\n",
    "keep_sname = []\n",
    "\n",
    "# Loop through the DataFrame using `enumerate()` to ensure integer indexing for the palette\n",
    "for idx, (index, row) in enumerate(df_binary_categories.iterrows()):\n",
    "    fig = plt.figure(\n",
    "        FigureClass=Waffle,\n",
    "        rows=5, columns=20,\n",
    "        values=[row['percentage'], 100 - row['percentage']],\n",
    "        colors=[pal_[idx], 'gainsboro'],  # Use integer index `idx` to access `pal_`\n",
    "        figsize=(3, 3)\n",
    "    )\n",
    "    \n",
    "    plt.title(f\"{cat_names[idx]}: {row['percentage']}% ({row['nonnullcount']} studies)\", fontsize=8)\n",
    "    keep_sname.append(f\"waffle_{row['category']}.png\")\n",
    "    plt.tight_layout()\n",
    "    \n",
    "    # Save the figure as a PDF\n",
    "    plt.savefig(\n",
    "        f\"waffle_{row['category']}.pdf\",\n",
    "        bbox_inches='tight', format='pdf'\n",
    "    )\n",
    "    plt.close(fig)\n",
    "\n",
    "# Function to create waffle plots for subsets\n",
    "def create_waffle_plots_for_subset(subset_df, subset_name):\n",
    "    df_binary_categories = pd.DataFrame({\n",
    "        'category': binary_categories,\n",
    "        'nonnullcount': subset_df[binary_categories].sum(),\n",
    "    })\n",
    "\n",
    "    df_binary_categories['percentage'] = (df_binary_categories['nonnullcount'] / len(subset_df)) * 100\n",
    "    df_binary_categories['percentage'] = df_binary_categories['percentage'].round(1)\n",
    "\n",
    "    # Set up color palette and category names\n",
    "    colors = ['#0063A6',  '#A71C49', '#DD4814', '#F6A800', '#94C154', '#11897A', '#C589E8', '#666666']\n",
    "    pal_ = list(sns.color_palette(colors).as_hex())\n",
    "    cat_names = [\n",
    "        'Model Comparison', 'Internal Qualitative Inspection', 'Error Rate Analysis',\n",
    "        'Downstream Tasks', 'Information Theory Metrics', 'External Qualitative Inspection',\n",
    "        'Distinctivness of Topwords', 'Similarity and Distance Measures'\n",
    "    ]\n",
    "\n",
    "    # Plot waffle charts for each category\n",
    "    plt.rcParams['savefig.facecolor'] = 'white'\n",
    "    keep_sname = []\n",
    "\n",
    "    for idx, (index, row) in enumerate(df_binary_categories.iterrows()):\n",
    "        fig = plt.figure(\n",
    "            FigureClass=Waffle,\n",
    "            rows=5, columns=20,\n",
    "            values=[row['percentage'], 100 - row['percentage']],\n",
    "            colors=[pal_[idx], 'gainsboro'],  # Use integer index `idx` to access `pal_`\n",
    "            figsize=(3, 3)\n",
    "        )\n",
    "\n",
    "        # Update title to include subset name\n",
    "        plt.title(f\"{cat_names[idx]} ({subset_name}): {row['percentage']}% ({row['nonnullcount']} studies)\", fontsize=8)\n",
    "        keep_sname.append(f\"waffle_{row['category']}_{subset_name}.png\")\n",
    "        plt.tight_layout()\n",
    "\n",
    "        # Save the figure as a PDF\n",
    "        plt.savefig(\n",
    "            f\"waffle_{row['category']}_{subset_name}.pdf\",\n",
    "            bbox_inches='tight', format='pdf'\n",
    "        )\n",
    "        plt.close(fig)  # Close the figure to free memory\n",
    "\n",
    "# Create plots for each subset\n",
    "create_waffle_plots_for_subset(substantive_df, 'substantive')\n",
    "create_waffle_plots_for_subset(methodological_df, 'methodological')\n",
    "create_waffle_plots_for_subset(core_sosci_df, 'core')\n",
    "create_waffle_plots_for_subset(peripheral_sosci_df, 'peripheral')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Visualization of methods used over time \n",
    "\n",
    "# Filter the DataFrame to include only studies published in 2011 or later\n",
    "df_overtime = df[df['Year'] >= 2011]\n",
    "\n",
    "grouped_means = df_overtime.groupby('Year').mean(numeric_only=True)\n",
    "subst_val = df_overtime[df_overtime['Substantive'] == 1].groupby('Year').mean(numeric_only=True)['method_count']\n",
    "meth_val = df_overtime[df_overtime['Methodological'] == 1].groupby('Year').mean(numeric_only=True)['method_count']\n",
    "core_val = df_overtime[df_overtime['Field'] == 'Social Science'].groupby('Year').mean(numeric_only=True)['method_count']\n",
    "peripheral_val = df_overtime[df_overtime['Field'] != 'Social Science'].groupby('Year').mean(numeric_only=True)['method_count']\n",
    "\n",
    "# Plot 1: Visualize the mean number of validation methods used per paper over time (All, Substantive, Methodological)\n",
    "df_year_val = pd.DataFrame({\n",
    "    'Year': grouped_means.index,\n",
    "    'All Studies': grouped_means['method_count'],\n",
    "    'Substantive Research': subst_val,\n",
    "    'Methodological Research': meth_val\n",
    "}).fillna(0).reset_index(drop=True)\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "vis = sns.lineplot(\n",
    "    x='Year', y='value', hue='variable', style='variable', \n",
    "    data=pd.melt(df_year_val, ['Year']), linewidth=1.5\n",
    ")\n",
    "\n",
    "handles, labels = vis.get_legend_handles_labels()\n",
    "vis.legend(title=None, loc='upper left', handles=handles, labels=['All Studies', 'Substantive Research', 'Methodological Research'], prop={'size': 12})\n",
    "vis.set_xticks(range(2011, 2023, 2))\n",
    "vis.set_yticks([0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6])\n",
    "vis.set(xlabel=None, ylabel=None)\n",
    "\n",
    "plt.rcParams.update({'font.size': 25})\n",
    "plt.savefig('meanovertime.pdf', bbox_inches='tight', format='pdf')\n",
    "\n",
    "# Plot 2: Core vs. Peripheral Social Sciences over time\n",
    "\n",
    "df_core_peripheral_val = pd.DataFrame({\n",
    "    'Year': grouped_means.index,\n",
    "    'All Studies': grouped_means['method_count'],\n",
    "    'Core Social Sciences': core_val,\n",
    "    'Peripheral Social Sciences': peripheral_val\n",
    "}).fillna(0).reset_index(drop=True)\n",
    "\n",
    "core_periphery_colors = [colors[0], colors[3], colors[4]]  \n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "vis2 = sns.lineplot(\n",
    "    x='Year', y='value', hue='variable', style='variable', \n",
    "    data=pd.melt(df_core_peripheral_val, ['Year']), linewidth=1.5, palette=core_periphery_colors\n",
    ")\n",
    "\n",
    "handles, labels = vis2.get_legend_handles_labels()\n",
    "vis2.legend(title=None, loc='upper left', handles=handles, labels=['All Studies', 'Core Social Sciences', 'Peripheral Social Sciences'], prop={'size': 12})\n",
    "vis2.set_xticks(range(2011, 2023, 2))\n",
    "vis2.set_yticks([0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6])\n",
    "vis2.set(xlabel=None, ylabel=None)\n",
    "\n",
    "plt.rcParams.update({'font.size': 25})\n",
    "plt.savefig('core_vs_periphery_meanovertime.pdf', bbox_inches='tight', format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Visualization of categories used over time \n",
    "\n",
    "\n",
    "# Group by 'Year' and calculate means for different subsets (binary validation categories)\n",
    "grouped_means_cat = df_overtime.groupby('Year').mean(numeric_only=True)\n",
    "subst_val_cat = df_overtime[df_overtime['Substantive'] == 1].groupby('Year').mean(numeric_only=True)['binary_category_count']\n",
    "meth_val_cat = df_overtime[df_overtime['Methodological'] == 1].groupby('Year').mean(numeric_only=True)['binary_category_count']\n",
    "core_val_cat = df_overtime[df_overtime['Field'] == 'Social Science'].groupby('Year').mean(numeric_only=True)['binary_category_count']\n",
    "peripheral_val_cat = df_overtime[df_overtime['Field'] != 'Social Science'].groupby('Year').mean(numeric_only=True)['binary_category_count']\n",
    "\n",
    "# Plot 1: Visualize the mean number of binary validation categories used per paper over time (All, Substantive, Methodological)\n",
    "df_year_val_cat = pd.DataFrame({\n",
    "    'Year': grouped_means_cat.index,\n",
    "    'All Studies': grouped_means_cat['binary_category_count'],\n",
    "    'Substantive Research': subst_val_cat,\n",
    "    'Methodological Research': meth_val_cat\n",
    "}).fillna(0).reset_index(drop=True)\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "vis_cat = sns.lineplot(\n",
    "    x='Year', y='value', hue='variable', style='variable', \n",
    "    data=pd.melt(df_year_val_cat, ['Year']), linewidth=1.5\n",
    ")\n",
    "\n",
    "handles, labels = vis_cat.get_legend_handles_labels()\n",
    "vis_cat.legend(title=None, loc='upper left', handles=handles, labels=['All Studies', 'Substantive Research', 'Methodological Research'], prop={'size': 12})\n",
    "vis_cat.set_xticks(range(2011, 2023, 2))\n",
    "vis_cat.set_yticks([0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4])\n",
    "vis_cat.set(xlabel=None, ylabel=None)\n",
    "\n",
    "plt.rcParams.update({'font.size': 25})\n",
    "plt.savefig('meanovertime_categories.pdf', bbox_inches='tight', format='pdf')\n",
    "\n",
    "# Plot 2: Core vs. Peripheral Social Sciences with All Studies (binary validation categories) over time\n",
    "\n",
    "df_core_peripheral_val_cat = pd.DataFrame({\n",
    "    'Year': grouped_means_cat.index,\n",
    "    'All Studies': grouped_means_cat['binary_category_count'],\n",
    "    'Core Social Sciences': core_val_cat,\n",
    "    'Peripheral Social Sciences': peripheral_val_cat\n",
    "}).fillna(0).reset_index(drop=True)\n",
    "\n",
    "core_periphery_colors_cat = [colors[0], colors[3], colors[4]]  # Using colors 4 and 5 for Core and Peripheral\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "vis2_cat = sns.lineplot(\n",
    "    x='Year', y='value', hue='variable', style='variable', \n",
    "    data=pd.melt(df_core_peripheral_val_cat, ['Year']), linewidth=1.5, palette=core_periphery_colors_cat\n",
    ")\n",
    "\n",
    "handles, labels = vis2_cat.get_legend_handles_labels()\n",
    "vis2_cat.legend(title=None, loc='upper left', handles=handles, labels=['All Studies', 'Core Social Sciences', 'Peripheral Social Sciences'], prop={'size': 12})\n",
    "vis2_cat.set_xticks(range(2011, 2023, 2))\n",
    "vis2_cat.set_yticks([0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4])\n",
    "vis2_cat.set(xlabel=None, ylabel=None)\n",
    "\n",
    "plt.rcParams.update({'font.size': 25})\n",
    "plt.savefig('meanovertime_categories_core_vs_periphery.pdf', bbox_inches='tight', format='pdf')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set the corrected custom color palette\n",
    "colors = ['#0063A6', '#666666', '#A71C49', '#DD4814', '#F6A800', '#94C154', '#11897A', '#C589E8']\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "\n",
    "# Binary categories\n",
    "binary_categories = [\n",
    "    'binary_ComparingMethods', 'binary_Human_int', 'binary_ErrorRateAnalysis',\n",
    "    'binary_Downstream', 'binary_Info', 'binary_Human_ext', 'binary_Distinctivness', 'binary_Similar'\n",
    "]\n",
    "\n",
    "# Prepare the data\n",
    "df_overtime = df[df['Year'] > 2010]\n",
    "\n",
    "# Get the number of entries per year (for normalization)\n",
    "n_year = df_overtime['Year'].value_counts().sort_index().reset_index()\n",
    "n_year.columns = ['Year', 'count']\n",
    "\n",
    "# Group by Year and sum the binary categories\n",
    "gr = df_overtime[['Year'] + binary_categories].groupby('Year').sum().reset_index()\n",
    "\n",
    "# Merge year counts into the grouped dataframe\n",
    "gr = gr.merge(n_year, on='Year')\n",
    "gr = gr.rename(columns={'count': 'n_year'})\n",
    "\n",
    "# Calculate percentages for each binary category\n",
    "for val in binary_categories:\n",
    "    gr[val] = (gr[val] * 100) / gr['n_year']\n",
    "\n",
    "# Define a reusable plotting function\n",
    "def plot_categories(x, y_data, labels, linestyles, colors, title, filename):\n",
    "    fig, ax = plt.subplots()\n",
    "    for y, label, linestyle, color in zip(y_data, labels, linestyles, colors):\n",
    "        plt.plot(x, y, label=label, linestyle=linestyle, color=color, linewidth=3)\n",
    "    ax.set_xticks(range(2011, 2023))\n",
    "    ax.set_ylim([0, 100])\n",
    "    ax.set_yticks(range(0, 101, 10))\n",
    "    fmt = '%.0f%%'  # Percentage format for y-ticks\n",
    "    ax.yaxis.set_major_formatter(mtick.FormatStrFormatter(fmt))\n",
    "    plt.title(title, fontsize=14)\n",
    "    plt.legend(prop={'size': 12}, loc='upper left')\n",
    "    # plt.savefig(filename, bbox_inches='tight', format='pdf')  # Enable if you want to save\n",
    "    plt.show()\n",
    "    plt.close(fig)\n",
    "\n",
    "# X values (Years)\n",
    "x = gr['Year']\n",
    "\n",
    "# Plot 1: Consistent Categories\n",
    "plot_categories(\n",
    "    x=x,\n",
    "    y_data=[gr['binary_Downstream'], gr['binary_Similar']],\n",
    "    labels=['Downstream Tasks', 'Similarity And Distance Measurements'],\n",
    "    linestyles=['-', 'dashed'],\n",
    "    colors=[colors[3], colors[7]],\n",
    "    title='Over Time: Consistent Categories',\n",
    "    filename='overtime_consistent.pdf'\n",
    ")\n",
    "\n",
    "# Plot 2: Decreasing Categories\n",
    "plot_categories(\n",
    "    x=x,\n",
    "    y_data=[gr['binary_ComparingMethods'], gr['binary_ErrorRateAnalysis'], gr['binary_Info']],\n",
    "    labels=['Comparing Models', 'Error Rate Analysis', 'Information Theory Metrics'],\n",
    "    linestyles=['-', 'dashed', 'dotted'],\n",
    "    colors=[colors[0], colors[2], colors[4]],\n",
    "    title='Over Time: Decreasing Categories',\n",
    "    filename='overtime_decrease.pdf'\n",
    ")\n",
    "\n",
    "# Plot 3: Increasing Categories\n",
    "plot_categories(\n",
    "    x=x,\n",
    "    y_data=[gr['binary_Human_int'], gr['binary_Distinctivness'], gr['binary_Human_ext']],\n",
    "    labels=['Internal Qualitative Inspection', 'Distinctiveness of Topwords', 'External Qualitative Inspection'],\n",
    "    linestyles=['-', 'dashed', 'dotted'],\n",
    "    colors=[colors[1], colors[6], colors[5]],\n",
    "    title='Over Time: Increasing Categories',\n",
    "    filename='overtime_increase.pdf'\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The counter for binary_ComparingMethods is: 18\n",
      "The counter for binary_Human_int is: 39\n",
      "The counter for binary_ErrorRateAnalysis is: 15\n",
      "The counter for binary_Downstream is: 12\n",
      "The counter for binary_Info is: 9\n",
      "The counter for binary_Human_ext is: 6\n",
      "The counter for binary_Distinctivness is: 1\n",
      "The counter for binary_Similar is: 1\n"
     ]
    }
   ],
   "source": [
    "### Get information for heatmap\n",
    "selected_df = df[binary_categories].copy()  \n",
    "selected_df['binary_category_count'] = df['binary_category_count']\n",
    "\n",
    "co_occurrence_matrix = selected_df.T.dot(selected_df)\n",
    "co_occurrence_matrix.to_csv('co_occurrence_matrix.csv')\n",
    "\n",
    "solo_counts = {}\n",
    "for column in binary_categories:\n",
    "    solo_counts[column] = df.loc[(df[column] == 1) & (df['binary_category_count'] == 1), :].shape[0]\n",
    "    print(f\"The counter for {column} is: {solo_counts[column]}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/27/6d83kd8d67g9658d9cwq7n580000gn/T/ipykernel_6419/1209410880.py:19: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  entropy_per_year = df.groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n"
     ]
    },
    {
     "data": {
      "image/png": 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+QwuSU01YYh11a1QzFUNW5VCsi283fTg7X8//vE6vTt+k/MIi+fp46a4BMXry4jaqVd1fhYXFS/UAHF/t4ADTV8sKjh//fo2u7NJY1fyopnMmBEIAAACAkzWKfnt2ot48plF0aJDVKLqF7hrY4pQaRVc2q0eR1UfIOjbuTjfb13+8YIv2Hc7Ri79tNIfVY8hqRH1ll0Yu1Wi5sKhIH/6+RY9+t1r7j37/z2tT3+zGFlfftUMuoKrdfW6MaXq//WCW3p6VqPuGxNk9JByDQAgAAABw0kbRTcKqm0bRVsWNs+7u1bJBTY25sqP+c1l7/bJ2t96fl6z/rd1jlrdZx91fLNfVXYsbUVu7lTlzI+r5iSn61xfLtWL7IXPd6pNkBUEXtKMhLnAmAv199cwlbXXbR0v071/Wm79loUH+dg8LRxEIAQAAADay+vKMnbJR36/cWdoounOT2npgaJwur8BG0ZXN6h00rGNDc+xOy9LHC7aayqHEfRmm75B1tKxfw7whtLakjqhRTc5i+4EjZntsqzeSpWagn566uI3uHNhC/r4scQHOhrWM9OVp8dqw+7CpHvzP8PZ2DwlHEQgBAAAANixL+mn1bhMEHdso2mrOPHpInPpVcqPoymYta3v4glZ66PyWmpeYYnoNfbNsuzbuOawHvlmlR75brYvbRZpwyFqOZVfodSS3oHSJW05+oaxv+e19m+u5YW1VJ8R5AivAlVm/3/8d3l6XvjlPr05P0J0DWiiylv1LX0EgBAAAAFR5o+iXpsabyhmLv6/VKLqp7hscV+WNoiubFWr1jYkwx+vXdtaXS7aZqqHFmw+YiijraBAaaCoIbu4VpRZ1Q6pkXA6Hw4zlwW9Xa+ehLHNbv5gI0yy7Q+NaVTIGwJNc3D7S9BWzAvCnf1ynd//Wze4hgUAIAAAAqHwpGTmmoeqbMxOVmlm2UfSogTGqHxood1cj0E+392tujnW70kzV0CcLt2p3Wrb++78N5ugbU8c0or6icyMFBVTOW5VlWw/oX1+sMLujWZqGV9fYKztqeKeGLl2VBTgz63fr/y7voN7/N9387t83ONb0H4O9CIQAAACASmJVAb0yLV4f/L7FLEkqCSDuHVTcKNqVdt+qSG0iQ/Xy1Z30wuXtzdI5qxH1lPV7NXdTijnu+nyZru3WxIRDXZvVrpCgZk9attk57MMFW8z16gG+euT8VrpvSKxpfAugcvVqUUeXdojUD6t26dHv1+j7O/vYPSSPx18+AAAAoBIaRY/5baMmr3LtRtGVzWrYbH0/rGPnwSx9tGCLWVK2OSVTE+Ymm6NNZE3d0itKN/ZopvCQgNP+HLn5haZvyfM/r1dmboG57cYeTU1PE/qYAFXL+r2zQuDJK3dqQVKKejavY/eQPBqBEAAAQCWxKhJen5GgmoH+Gj00jhDAAxpF/7hql8ZOiS9djmS5yGoUPbSlWQ7FkqQTa1g7SI9d1FqPXNBKczbtN8tKvl2+Q+t2peu+r1fqoUmrTXWBVVk1pHU9+Xh7l9snyKpEuP/rlSZgsnSPCtNr13RS96jwKvqqABzLWiZm/Q6/Ny/Z/E7PffBc/i7aiEAIAACggqVm5OrF3zbozVmJys4rXib027o9+nJET9Wr6f69YjyxUbRV2fLytIQyjaJvtBpFD4lTK/pknBZvby8NiKtrjjeu66wvFhc3ol629aAJiKyjYa0g/b1XcSPqqDrBf3mOtTvTdM+XKzQzfp+5bjWutpanXd+9qXl+APZ5+pI2+nTRVs1PTNFPq3fpkg4N7R6SxyIQAgAAqCBpWXl6eWq8XpmWULo0pWvT2marbavioeOzv+mrEb3Mjktwj0bRb81M1Fuz/mgUXSvIX//s31yjzo0h/KsAodb3c0ALc6zecchUDVlvJK2dwawlYNYxIC7C9BqymkIfyS3UUz+u1bjZSSpyOBTg622qsx4+v6XH9msCnI21VPOeQTF64deNeuS71bqgbQMqaG1CIAQAAHCWMnPy9fqMTRozZaPSsvLNbZ0a19Lzl7XTeW3qa9O+DF3+9nyt352ugWNnmkqF+4fEUSbvoqwqICv4s5oTH9so2to2/uZezQgeKkn7RrX02rWd9eIVHcxSsPfnJ2vahr2aFb/fHDUD/WT9SpX8Dlo7lVmPbXacCiIA9nro/FamR9iG3Yf18cItuqV3tN1D8kgEQgAAAGexVOid2Ulmu+ySCpHWDWrq2Uvb6rJjtrCOrVdDix8bopGfLDXVDQ98s0oLklL1wc3dVTPI3+avAqfKaoBq9Qc6tlF0l6ZWo+iWpjqF/+GuGgF+Prqqa2NzbDtwpLgR9fzN5tzSvlGoXrums/rFUokHOHP132MXtjY9vp78Ya3ZVZDd/qoe33EAAIDTlFdQqPfmbTbLVfakZ5vbmkcE65lL2+rqro2P2+zW2uL641vPUa/m4frXlyv0/cqdWrsrTd/+s7epfIATN4pevVtjpsSbncNKXNw+0jQK79OCRtF2ahJWXU9e3EaPX9jaLMu0enYNbVN+w2kA9rtjQAu9Nj1B2w9m6Y0Zm/Tg+a3sHpLHIRACAAA4RQWFRaa0/dmf1pdWIzSuHaSnLmmjm3o0K7dCxAoORvZvYbYfv+Kd+Uran6lz/jNN79zQRX/vFVVFXwVORVZegb5dl6ZrJv1mfk4ljaKtn/N9g2PNTjlwvkbUAFxHNT8fPTesnf42cZH+++sG3dYnWrWDA+welkchEAIAADiFKpGvlm7X0z+uK91Fqn7NQD1+UWvd2jvKLGE5HV2bhWnFk+fpxvcW6td1e3TzB4v1e1Kq2VHJeoEM+xQVOUxvmke/W1OmUbT1P9l3DWxBo2gAqEDXn9NEY6ds1Npd6SYUGnNlR7uH5FEIhAAAAE7A4XDo+xU7TX8DqyG0JTw4QI9c0MrsJHU2/Q7CggP089399O9f1ptdkd6bl6zl2w6aJWTH20YblS9pX4b+8fESzU7Yb65HhvjpwQvb6NY+zc2SPwBAxbKWd75weQdd+Pocs2xs1MAYNQ6rbvewPAb/sgEAABwnCPpt3R49/v0ardh+yNwWGuRnmgdb24mHVNAuUtYylycubqNzosJ07bsLtHL7IXV+7jd9fEsPXdwhskI+B05tKeAr0xJM8GftGhbk76NnL22j3rWz1KVTC/n4ULUFAJXl/Lb11S8mwvQBe+qHtfrglnPsHpLHoNsaAADAMWbF71PvF6brgtfmmDAoOMBXT1zUWlteuESPXti6wsKgYw1uXV8rnzzPBEPWltmXvDlXj3632gQVqFyrth8yfZwe/HaVCYMGtayrdc9coHsGxcrXm2bRAFDZrP56L17RwZx/tHCL1u5Ms3tIHoNACAAA4OiW4ueOnamBY2dqQXKqAv199MDQOBMEPTusndkitzI1ql1dcx4815TLW6yt7Ie8Mkv7ju5ihoplhT+PfbdaXZ6fYpbqWRVgH9zcXVPvG6BmLNkDgCrVLSpMV3RuJIdDeuS71XYPx2OwZAwAAHi0FdsO6onJa/W/tbvNdT8fb43oF61HL2it+qFV20DY39dHr1/XWT2bh+u2j5ZoVvx+dXpuir4a0Uu9W9Sp0rG4s/mJKbrto8VK2FvcINx6E2I19KZhNADY59+XtdP3K3fqlzW7NSdhv/rFRtg9JLdHhRAAAPBISQdydeW439X5uSkmDPLx9jJb3ib+5yK9cV2XKg+DjnVNtyZa+tgQtaxfQ7vTstV/zAy9MjXe9DbCmTucna87P1umPv833YRB1k5x393RW9/8szdhEADYLKZeDf2jT7Q5f2jSKv7NqwIEQgAAwKNY28bf+P4iXfv1Nn2/cpe8vKQbzmmq+Ocu1Lt/66YmTrK7ScsGNbXksSG6tlsTFRY5dN/XK02AZYUaOH2/rNml1k/+T2/PSjTXrfBvw3MX6LJOjeweGgDgqCcvbmMa+y/efMDs8onKxZIxAADgEbamZuq5n9frowVbTMBiubxTQz1zaTu1jqwpZxRczU+f/aOHejUP171frdSk5Tu0ZmeaJv2zt9o2DLV7eC4hJSNH93y5Qp8v3mauR9UJ1rs3ddXAlvXsHhoA4E+s6tz7h8SZf6+tXkKXdIiUrw91LJWF7ywAAHBru9OyzDKhmMd+0cT5m00YdGHb+vr0isb6akRPpw2Djt195c6BMZr30LlqVDvIVDh1/89UfbJwi91Dc2rWUoPPFm1Vqyf+Z8Igby8vjR4ap7VPn08YBABObPTQlgoPDtCmfRnm321UHgIhAADgtpUho79eqehHfjbLhPILi8yW4gsfGawf7uqjuDrV5Eq6R4VrxRPnaUjresrOK9RN7y/SyE+Wmt2yUNaOg0d00etzdcN7C5Wamat2DUO1+LHBGnNlRwUFUCAPAM6sRqCfnriotTl/6se1OpJbYPeQ3BaBEAAAcCuHjuTp8e/XqNnDP+mlqfEmMLGWXM0aPVDT7h+oc6LD5arCQwL0v3/101MXtzG9j8bPSVLvF6ab5XCQioocJvyzqoKsRuH+vt56flg7LXt8qLo0DbN7eACAUzSiX3M1C6+uvek5enVagt3DcVv8FwkAAHALGTn5em16gsZOiVf60cbLnZvU1vOXtdXQ1vXN0it34OPtracvbatzosN0/bsLtXzbQXV6doo+va2HLmjXQJ4qfs9h/ePjJWZLeUvP6HC997dupjk3AMC1BPj56PnL2pl/5/7vtw0mILL+UwQViwohAADg0rJyCzR2ykY1e/hHPTF5rQmD2kTW1Pd39tHSx4fovDYN3CYMOpb1da188jx1axamQ1l5uvD1OXpi8hoVFhXJk+QXFOk/v6xX+2d+NWFQcICv3rius+Y9NIgwCABc2DVdm6hj41rKyCnQv39Zb/dw3BKBEAAAcEm5+YV6c+YmRT/6kx74ZpUOZOYppm6Ivri9p1Y/db6GdWzolkHQsRqHVdfcB8/VHQNamOvP/7xe570y2/RP8gTLtx5U139P0WPfr1FeQZHOb1Nf65+9QHcNjJG3t3v/7AHA3Vl/x//v8vbm/K1ZidqSwvLoikYgBAAAXK4i5L25yWrx2M8a9fly01+gaXh1fXBzdxMGXNOtiUeFAVZZ/VvXdzHb0wf5+2j6xn3q+OxvWpicKneuCnvwm5Xq9u+pWr0jTWHB/vrk1nP0y7/6mZAMAOAeBreubzaEsDaGsKpgUbHoIQQAAFyCtRTqi8Xb9PSP65R89H8JG4QGmp1IbukdJX9fH3my67o3VfuGtXT5O/OUsDdDfV+crrFXdtTd58a4VaXUrPh9+sdHS0rnwLXdmujVazopooZr7RoHADg1L1zeQV2en6LPFm/T/UPj1LFxbbuH5DaoEAIAAE6/c9S3y7ar7VO/6sb3F5kgoE5IgF6+qqOS/nORRvZv4fFhUInWkTW19PGhuqpLYxUUOnTPlyt0zfgFpuG2q0vLytPtHy/RwLEzzRyIrBWon0b11ee39yQMAgA31rlpbV3TrbE5f2TSaruH41aoEAIAAE7J4XCYrcOtRtErtx8yt9UK8tcD58Vp1MAYBVfzs3uITimkmp++HNFTvZqH6/5vVurrZdu1euchTfpnHxMYuaLJK3fqjk+XaU96trn+z/7Nzf8Y1whkDgCAJ3h+WDtNWr5TU9bv1YyNe3Vuy3p2D8ktEAgBAACnC4JmbNxnegUs2nzA3BZSzVf3Do7TfYNjVTPI3+4hOj1ridjdg2LVtVmYrhw33ywh6/bvKZpwUzddf05TuYp96dka9cVyfbNsh7luNQ1/92/d1Dcmwu6hAQCqUHREiEb2a643Zm7SQ9+u1pLH6npUv8DKQiAEAACchrVt+OPfr9GcTfvN9UB/H1MN9MDQlgoPCbB7eC6nR3S42Zr+ugkLTLPpG95bqAXJqWa5ndWM2plDwY8XbNG9X63Uoaw8+Xh76cHzWurJi9uomhOPGwBQeR6/qLU++H2zlm87qG+WbdfV3ZrYPSSXRyAEAABslVdQqLmbUvTS1Hj9tm6Puc3f19v8T+AjF7RSvZqBdg/RpdUJqabf7u1vmnFb29K/PStRy7Ye1Ncje6mJE+7ItTU1UyM+Waqp6/ea6x0b19L7f+9GE1EA8HBWv7gHzmupp35Yq8e+X6PLOjWkh+BZIhACAABVLiUjR7+u3aOf1+wy/QAOZxc3Pfb18dItvaLM/wI2qu18YYWr8vH21nPD2qlHVLipElqy5YA6Pfub2ar+vDYN5Cy7yL05M1GPfrdaWXmFphLo6Uva6P4hcfL1YR8UAIDM0vG3Zm4ymwu8OzdZdw6MsXtILo1ACAAAVMkSoLU70/Tzmt3mWLQ5VQ7HH/dHhARoWMeGZlmQ1ScAleOCdg204smhuuKd303J/QWvzdETF7XRkxe3NqGRXdbvStetHy3W4qM9o/rFRJheQS3qMhcAAH+wNpR46pK2uvOzZXr2p3W6qWczs5kCzgyBEAAAqBTZeQWaFb/fVAFZIdCOg1ll7reWAl3UroEuahepLk1r0xyyijQND9b8hwfp3i9XaNycJPOC2groPrutZ5X3abKWC/73fxv07182KL+wyOwa9uIVHfSPPtHMBwDAcVn/RrwyLV5J+zP18tR4ExDhzBAIAQCACrPrUJZ+OVoFNH3jXmXnFZbeZzWIHtSyngmBLmjbQA1rB9k6Vk9mLcd658au6tk8vLRfT6fnftM3I3upe1R4lYxh8eZU3frhEq3fnW6uX9IhUm9f30WRtZgXAIAT8/P11n+Gt9dV437XmCnxpudgXfoNnhECIQAAcMaKihxm6ZFZCrZ6l1ZsP1Tm/oa1gkwAdHH7SA2Ii1CgPy89nMmNPZqpQ6Nauvyd+Urcl6E+/zdDL1/dUXcOaGG2rq8MR3ILzE5yr81IMMsG64QE6M3ruujKLo0q7XMCANzLFZ0bqWvT2lq69aCe+3m93ry+i91Dckm8KgMAuBWrF8kdny1VQGG2BuwNUJemYWZ3IrYsrzgZOfmavmGvCYGsaqB9h3NK77Pez3dvFmaWgV3UvoHaNQzlTb6Ta9swVMseH6pbPlysSct3aNTny/V7Uorevamb6dVQkaat36PbP1mqralHzPWbejTVy1d3Ulgwv58AgFNnvbb4vys6aODYmRo/N0n3DIpVc/rOnTYCIQCAW3nyhzVmC3PLtOS1pbc3rh2kTk1qq1PjWurUpJY6Na6t+qGUF5+qzSmZR5eC7dLshP3KKygqvS+kmq+Gtq5vKoHOb9vAbAsL12L17rGWi706LUEPfLtKXy7ZrtU70jTpn73VskHNs37+g5m5uv/rlfpwwZbS38fxN3V1mh3OAACuZ0BcXZ3Xpr5+W7dHj09eoy9H9LJ7SC6HQAgA4DZ2p2Xph1W7zPnNHWsr07u6Vu44ZJoObj+YZY7JK3eWPr5ezWomGCoOiGqZJsdNwqpT0SKpoLBIC5NTj+4Ktksbdh8uc390nWCzDMyqAurToo78fX1sGysqhjXv7x0Sp67NwnT1+N+1cc9hdf33VL33t266pluTM95dzqo6uuvz5aaSzPrVGjUwRv++rF2FVx8BADzPC5e315T1e/TV0u0aPTTOVIbj1BEIAQDcxsT5m1VY5FDP6HDdeU5tdejQQT4+PkrPytOqHWlase2g6XGzYvtBxe/J0N70HP1v7W5zlKgV5F8aEJVUFDWPCPGIHY8OHcnTb+uKG0L/unaPDmXlld7n4+1lgh+zK1j7SMXUDSE4c1O9W9TRiieG6tp3F5hd4q6dsEALklI19qoOpxX8WQHtnZ8tLw1hW9avoff/3l09oqumaTUAwP21b1RLN5zTVJ8s3KqHvl2t6fcP4PXJaSAQAgC4hcKiIr07N9mc3943SlJa6X01g/zVLzbCHMc2tl2zszgkWmlCokNatyvdhCAzNu4zR4ngAF9TPVSy1My6jKtXQ74+3nJlVvVG/J7DpVVAvyelmkCtRO3q/mY3MCsEGtqmvkKD/G0dL6qOtVvL1HsH6Mkf1ppt4d+YuUlLtx7Q1yN7qVHt6uXOq/fnbdbob1YqPTtfvj5eeuT8VnrswtYK8KOSDABQsZ69tK2pEJoZv8/smmm9ZsGpIRACALgFa/24tSTMCjEu79RQCRv+CISOp3qAr6lUOLZaITe/0GyBvWJbcRWRFRJZfVQycws0LzHFHMdu292+UWhxJdHRkKh1g5pO/4Y3r6BQcxL2Hw2BdpveQMeyvoaSKqBzosJcPvTCmbN+9ta2vj2iwnXTxIVatPmAOj07RZ//o4cGtz7+i+2kfRm6/ZMlprLIYu0AY1UFWY2rAQCoDE3Dg83umK9MS9BDk1ZpcKt6HlHZXREIhAAAbmH8nOLqoL/1bHbGW5tbYY5ZJtakttUlp7SXTvzew3+ERNsOmYoiKyRavPmAOUr4+XirdYMaxzSvrq32DUMVFGDvP7f70rP167o9JgCasm6PGXsJf19vDYiNMAHQhW0bqFmdYFvHCudzcYdILX/iPF3xznwz94e+OltPX9JWj1/YuvQFt/V78ur0BFNRlJ1XqEB/Hz0/rJ3+NShGPt6EigCAyvXoBa31/vzN5j/yvliyTdef09TuIbkEAiEAgMvbcfCI2QHLMqJf8wqvkmgTGWqOm3o2M7cVFTmUtD+jdKlZSW+ig0eKexVZx8SjH+/t5aW4+iHFVURHQ6IOjULNMrbKYi3ZsV4QWcvArBBoyZYDcvyxEsw007bCHysEGtSyLs19Ua6oOsFa8Mhg3f3FcrM086kf1mpRcqo+ua2Hdh7K0q0fLtHybQfNYwfG1dW7f+tmPgYAgKoQHhKgh85rqce+X2N2HLuicyOnr9p2BgRCAACX9968zSpyONQ/NkKx9WqosLCwUj+fVRURU6+GOa4+uvuSFcJYS9ZKG1dvO2TeIFs7K1k7dFnHp4u2lj5H84jgP+1wVtu8mDlTWbkFZu18ST+gXYeyy9zfuUnto0vBGpjPSyk1Tpe1THLCTd1M0/Z/frrMVJ21eep/Ss3MVUGhQ6FBfnrpqo66uVcUDT0BAFXunkGxenNmoramHtE7sxN1z+A4u4fk9AiEAAAuzVqq8t684uViIyu4Ouh0WG+ArS3rreOyTo1Kb9+Tll261KykmsgKjpL2Z5rj62XbSx/buHbQ0ebVJdVEtVS/ZuAJ31yXVEZZIZDVBDsn/48gLMjfx6yhv6hdpC5oV18NQoMq+TsAT/H3XlFmnlpLyKw5bLm8cyO9cW1n1Q8NtHt4AAAPZS3Rf+bSNrr946V6/pf15j8oKrMi2x0QCAEAXJoVhuxOy1adkABd1qmhnI31BvnC0Ehd2C6y9LYDmbnFy81Kqom2H1LivgwTFFnHD6t2lT62bo1qpUvNrEurisjaQcOqArKWhR3LCpQubh9pqoD6x9Y1FR1AZW3zu+zxoaaBpxVcXtLB+X73AACexwqBXpoar4S9GRozJV7PX9bO7iE5NQIhAIBLGzc70Vze0itK/r6uEYCEBQdoUKt65ihxODtfq3YcExJtO6SNew6bJWfW0hzr+DOrP1GP6DBTBWSFQNYOYSzVQVWx/tf16Uvb2j0MAADK9H787/D2Gv72fL08Ld7sPkb1qgsEQu+++67efvttrVy58oSPmTRpkt555x2lpKSoU6dOeuaZZ9S4ceMqHScAwHlYW6ZP3bDXnP+jb/GuYK6qRqCf+sZEmOPYvkBrdqaVLjWzqop2p2erbwtrV7AGOr9Ng7PqOwQAAOBuhnVsqHOiwrRo8wE989M6jbuxq91DclpOEQglJSXp9ddfl6/viYczZ84cEwA9++yzatWqlV555RXdfvvt+vnnn0/6cQAA9/Xu3CSze9aQ1vUUHREid1wLf050uDkAAABQPqta+sUrOqjvizNMn8l7B8eaTUfwV96yWUFBgR566CG1b9/+pI+bOHGihg8frmHDhikmJkZjxozRvn37TFAEAPA8eQWFmjh/szkf0de+ZtIAAABwLn1iIkxfxcIihx79brXdw3FatgdCEyZMUGhoqAl7TqSoqEirV69Wt27dSm8LDg42lULLli2ropECAJyJ1Xh5f0au2YXL+gcfAAAAKPGf4e1Mv8XvVuzUouRUu4fjlGxdaxUfH6+PPvpIkydP1sKFC0/4uPT0dGVnZysi4o++CpY6depo797i3hGnq7Cw0BxwPiU/F34+OBHmCCzvzCpuJn1zr6by9nKUmQ/MEZSHOYLyMEdQHuYIysMcsVfLeiG6qUcTfbhgqx74ZqVmjR7gdJtvFFbCHDmd57ItEMrPz9fDDz+s++67T/Xr1z/pY3Nycsylv79/mdut65mZmWf0+Tdt2nRGH4eqs3btWruHACfHHPFc29LyNCthv7y9pJ61c7Rq1arjPo45gvIwR1Ae5gjKwxxBeZgj9rki2kufL/bS/KRUvfXj7+rdJFjOaK1Nc8S2QMjaUaxWrVq6+uqry31sQEDxDip5eXllbreuBwae2RZyVh+ioKCgM/pYVC4r0bR+Idq2bSsfH9fYQhpVizmCz74tDoDOa1Nf5/X5684RzBGUhzmC8jBHUB7mCMrDHHEOo/b566WpCXpv1RH98+Ke8vG2vXNOpc6RrKysUy6AsS0Q+uGHH8z28R07dixtLm0FPNZ1azexSy65pPSxVo+hatWqmccfy7peXjPqE7G+2fxSOjd+RigPc8Qz5eQX6uOFW835P/u3OOkcYI6gPMwRlIc5gvIwR1Ae5oi9Hruwjd6fv1nrdqfr8yU79PdeUXLnOeJzGs9jWzT2ySefmC3jrf5B1nH33Xebah/rfODAgWUH6e2tDh06aPny5aW3WUvFNmzYoC5dutgwegCAXSYt36EDmXlqVDtI57c9+ZJjAAAAeLZa1f316AWtzfkTk9cqO6/A7iE5DdsCocjISDVp0qT0CAsLMw2erHNrB7EjR46UqQi68cYb9eWXX2rSpEmm/OnBBx80vYf69etn15cAALDB+DlJ5vIffaKdquQXAAAAzumugS3UsFaQdh7K0ltHNyaBE2w7fyITJ05U7969S68PGjRIjzzyiN544w1dddVVys3N1fjx4ym9AwAPsn5XuuYlpsjH20u39nG+cl8AAAA4n0B/Xz17aVtz/p9fNujQkbL9iT2V0wRCw4cP18qVK0uvjxo1SgkJCWUec/3112v27NlmN5n3339fjRo1smGkAAC7TJhbXB10SftINQhlYwAAAACcmpt6NlXrBjV1KCtP//frBruH4xScJhACAOBksnIL9NGCLeZ8RL/mdg8HAAAALsRqNfDC5cWbUr02Y5N2HDwiT0cgBABwCV8v26707Hw1C6+uwa3q2T0cAAAAuJgL2zVQnxZ1zK61T/+4Tp6OQAgA4BLGHW0mfXvf5vL29rJ7OAAAAHAx1kZW/3dFB3P+4e9bTH9KT0YgBABwequ2H9LizQfk6+Olm3s1s3s4AAAAcFE9osN1WceGKnI49Oj3q+XJCIQAAC6z1fzwjo1Ut2ag3cMBAACAC/vP8Pby9vLSj6t2aX5iijwVgRAAwKll5OTr00VbzfmIftF2DwcAAAAuLq5+Dd3aJ8qcP/jtKjkcDnkiAiEAgFP7YvE2ZeYWKKZuiAbE1bV7OAAAAHADT1/SRoH+PlqYnKofVu2SJyIQAgA4Let/a/5oJh1tGgECAAAAZ6tBaJDuHRRrzh+ZtFoFhUXyNARCAACntWzrQa3cfkgBvt76W8/isl4AAACgIjx4XkvVru6v+L2Hza5jnoZACADg9M2kr+jcSOEhAXYPBwAAAG6kZpC/Hr+wtTl/6se1ysotkCchEAIAOKX0rDx9sWSbOR/Zv4XdwwEAAIAbumNACzUJq67dadl6bUaCPAmBEADAKVk7i2XlFapVgxrq1Tzc7uEAAADADQX4+ej5YW3N+Qu/btSBzFx5CgIhAIBTNpMuWS42sl8LmkkDAACg0lzXvanaNwrV4ex8/eeX9fIUBEIAAKdjbf+5dle62Qr0xh5N7R4OAAAA3Ji3t5deuLy9OX9zVqIJhjyBr90DAADgz0qqg67p2lihQf52DwcAAABubmjr+vp7z2ZatztdPt6eUZ1OIAQAcCoHM3P11dLt5nxEv+Z2DwcAAAAewMvLSx/cco48CUvGAABO5eOFW5RbUKQOjULVrVmY3cMBAAAA3BKBEADAqZpJjzu6XMyqDqKZNAAAAFA5CIQAAE5j7qYUJezNUHCAr64/h2bSAAAAQGUhEAIAOI1xcxLN5XXdmyikmp/dwwEAAADcFoEQAMAp7D+co0nLd5rzkf1pJg0AAABUJgIhAIBT+PD3zcovLFLXprXVsXFtu4cDAAAAuDUCIQCA7YqKHJowN9mcUx0EAAAAVD4CIQCA7WZs3KvklEzVCPTT1V2b2D0cAAAAwO0RCAEAbDf+aHXQjec0VfUAX7uHAwAAALg9AiEAgK32pGVr8sriZtIj+rFcDAAAAKgKBEIAAFtNnL9ZhUUO9YwOV9uGoXYPBwAAAPAIBEIAANsUFhXp3Xk0kwYAAACqGoEQAMA2U9bt1bYDR1QryF9XdG5k93AAAAAAj0EgBACwzfi5Seby772aKdCfZtIAAABAVSEQAgDYYsfBI/p59W5zfntflosBAAAAVYlACABgi/fnbVaRw6H+sRGKq1/D7uEAAAAAHoVACABQ5QoK/2gmzVbzAAAAQNUjEAIAVLlf1uzW7rRs1QkJ0GUdG9o9HAAAAMDjEAgBAKrcuDnFzaRv7hWlAD8fu4cDAAAAeBwCIQBAldqSkqkp6/eY89v7Rts9HAAAAMAjEQgBAKqU1TvI4ZAGt6qn6IgQu4cDAAAAeCQCIQBAlckrKNTE+ZvN+UiaSQMAAAC2IRACAFSZH1bt0r7DOapXs5oubh9p93AAAAAAj0UgBACoMuOPNpO+rU+0/Hz5JwgAAACwC6/GAQBVInFfhmZs3Ccvr+JACAAAAIB9CIQAAFViwtzi6qAL2jZQk7Dqdg8HAAAA8GgEQgCASpeTX6gPfi9uJj2iL82kAQAAALsRCAEAKt13K3boQGaeGtUO0gXt6ts9HAAAAMDjEQgBACrduNl/NJP28eafHgAAAMBuvCoHAFSqDbvTNS8xRT7eXrq1d5TdwwEAAABAIAQAqKpm0he3j1RkrSC7hwMAAACAQAgAUJmy8wr00YIt5nxEP7aaBwAAAJwFgRAAoNJ8vXS70rLy1TS8uoa0opk0AAAA4CwIhAAAlWbcnOLlYrf3jZa3t5fdwwEAAABwFIEQAKBSrN5xSIs2H5Cvj5du6UUzaQAAAMCZEAgBACrF+KPVQZd1bKi6NQPtHg4AAACAYxAIAQAqXGZOvj5dtNWcj+zX3O7hAAAAAPgTAiEAQIX7Ysk2ZeQUqEXdEA2Iq2v3cAAAAAD8CYEQAKDCjZ+TbC5H9I2WlxfNpAEAAABnQyAEAKhQy7Ye0PJtB+Xv662/9aSZNAAAAOCMCIQAAJVSHXRl50YKDwmwezgAAAAAjoNACABQYdKz8vT54uJm0iNoJg0AAAA4LQIhAECF+WzxNmXlFapVgxrq3aKO3cMBAAAAcAIEQgCACuFwODRudqI5H9G3Oc2kAQAAACdGIAQAqBCLNh/Q2l3pCvT30Y09mtk9HAAAAAAnQSAEAKgQJdVBV3dprFrV/e0eDgAAAICTIBACAJy1Q0fy9PWyHeZ8ZH+aSQMAAADOjkAIAHDWPl64RTn5hWrfKFTdmoXZPRwAAAAA5SAQAgBUQDPpJHM+sh/NpAEAAABXQCAEADgr8xJTFL/3sKoH+Oq67k3tHg4AAACAU0AgBAA4KyXVQdd3b6IagX52DwcAAADAKSAQAgCcsZSMHE1aUdxMekQ/mkkDAAAAroJACABwxj78fYvyCorUpWltdWpS2+7hAAAAADhFBEIAgDNSVOTQhLl/NJMGAAAA4DoIhAAAZ2Rm/D4l7c80fYOu6dbE7uEAAAAAOA0EQgCAMzJ+TnF10I3nNDU7jAEAAABwHQRCAIDTtjc9W5NX7TTnNJMGAAAAXA+BEADgtE2cv1kFhQ71jA5X24ahdg8HAAAAwGkiEAIAnJbCoiJNmJtszqkOAgAAAFwTgRAA4LRMXb9X2w4cUa0gf13ZpZHdwwEAAABwBgiEAACnZdzRZtJ/69lMgf40kwYAAABcEYEQAOCU7TyYpZ9X7zbnLBcDAAAAXBeBEADglL03L1lFDof6xUQorn4Nu4cDAAAA4AwRCAEATklBYZHem1/cTHpkf6qDAAAAAFdGIAQAOCW/rNmtXYeyFR4coMs6NrR7OAAAAADOAoEQAJzE9A17NXnlThUVOeTpxh9tJn1L7ygF+PnYPRwAAAAAZ4HtYQDgBHanZen812aroNChDo1CNebKjhrUqp480dbUTP22fo85/0efaLuHAwAAAOAsUSEEACcwc+M+EwZZVu1I0+CXZ+mCV2dr3a40eZp35ybL4ZAGt6qn5nVD7B4OAAAAgLNEIAQAJzArYb+5vK1PtO4+N0a+Pl76dd0etX/6N9324WJTQeQJ8guK9P78zeacreYBAAAA90AgBAAnMDN+n7m8onMjvXZtZ2149kJd3rmR2XbdCkhaPPqznvphrTJz8uXOfli1U/sO56hezWq6pH2k3cMBAAAAUAEIhADgOLakZGpr6hFTFdS7RR1zW4u6Ifr2n701/6FBOicqTFl5hXr2p3Vq/ujPmjAnyWzL7s7NpG/tHS0/X/7ZAAAAANwBr+wB4CTVQedEhat6QNn++71a1NGCRwbrm5G9FFUn2FTPjPhkqdo9/at+WbNLDqvZjptI2peh6Rv3yctL+kdfmkkDAAAA7oJACABOEggNiI047v1eXl66oktjbXzuAr16TSfVru6vjXsO66LX5+rcl2ZqxbaDcgcT5hZXB53fpoGahFW3ezgAAAAAKgiBEAD8iVXhUxIIDYyre9LH+vv66F+DYpX834v1wNA4+ft6a1b8fnV+bopufG+hth84IleVm1+oD37fYs5H0kwaAAAAcCsEQgDwJwl7M7Q3PUfV/Hx0TnT4KX1MaJC/XryyoxKev1DXdW9ibvt00VbFPPazHvp2ldKy8uRqvluxQ6mZuWpYK0jnt61v93AAAAAAuEsgtGvXLt1xxx3q0qWLunfvrieffFKZmZnHfWxWVpbi4uIUGxtb5li1alWVjxuAeyupDurVPNyEQqejaXiwPvtHTy19fIj6xUQot6BIL/62Uc0f/UmvT09QXkGhXMW4o82kb+sTJV8f/v8AAAAAcCfedi7JGDFihAoLC/Xll19qwoQJWrlypZ566qnjPj4pKUm+vr6aO3eu5s+fX3q0bt26yscOwL2d6nKxk+nSNEyzHhioH+/qq7h6NXQgM0//+nKFWj/5P01avsPpG09v3J2uuZtS5OPtpdv60EwaAAAAcDdlt86pQqmpqWrevLkeffRRRUQUN2298sorNW7cuOM+PjExUY0aNVLdumf+Bg0AylNU5NCsCgiEShpPX9wh0iy3em9esp76Ya2S9mfqinfmq2d0uMZe1VE9TnFJWlUbf7SZ9EXtGiiyVpDdwwEAAADgLhVCderU0auvvloaBm3btk0//PCDevXqdcJAKCoqqopHCcDTrNmZpoNH8hQc4KvOTWpXyHNay61G9m+hpP9erMcvaq1Afx8tSE5Vz/9O05XvzDdbuzuT7LwCfbTgaDPp/jSTBgAAANyRbRVCx7rhhhu0dOlSRUZGavTo0ScMhHJzc3XdddeZ8Cg6Olr333+/2rdvf0af01qqZh1wPiU/F34+sGOOzNi4x1z2aVFH3l6OCv0cQX7eevri1vpH72Z6+qf1+nDBFn27fId+WLVL/+wXrccubKWw4ADZ7csl25SWla+mYdV1bmyES/4u8ncE5WGOoDzMEZSHOYLyMEdgxxw5nefycjhBI4uNGzeaptFjxozRoUOH9OOPPyogoOybov79+yskJMQsMatevbq++OIL/fLLL6aqqFmzZqf8uazPY30+ADiee/+3S/O2HdE9PcJ1Q4eKqRA6kcQDuXp9YYoW7sgy14P9vXVLp9q6um2oAnzta+J8y3fbtWZfju7sHq6bO1Xu9wAAAABAxWvZsqWCgoKcPxAqsX//fvXr188sJRs6dGiZ+7Kzs81lYGCgubSGffHFF6tPnz566KGHTjsQiomJKfebA3tYiebatWvVtm1b+fic3g5P8AyVNUcKCotU577Jysgp0NLHBqtj41qqClM37NXDk1Zrzc50c71JWJCeu7StrunaWN7eXqrqJXOdnpsqX28vbX3hItWrWfw319XwdwTlYY6gPMwRlIc5gvIwR2DHHLEyj02bNp1SIGRrU+klS5boggsuKL3N6icUGhqqgwcP/uXxJUHQsc1arWVje/fuPaPPb32z+aV0bvyMUNVzZNm2QyYMqhXkr05NwqosjDm/baSGtK6vTxZu1eOT12jbgSzdNHGxXpuRqLFXdlD/s2xufTrem1/cO+iyTg0VWTtYro6/IygPcwTlYY6gPMwRlIc5gqqcI6fzPLatSdi1a5fuvfde0xuoxM6dO00Y1KJFizKPtZaRde3aVTNmzCiTpMXHx5tQCAAqcrv5AXERVV6Z4+Ptrb/3itKm5y/S88PamabWy7cd1ICxM3Xx63PMNvCVLTMnX58sLA6ERvSjmTQAAADgzmwLhKySqE6dOpmeQOvXr9fq1at1zz33mF3GunTpoiNHjiglJcU8tlatWuaxL774omk+nZSUpMcff1xpaWm6/vrr7foSALiZmRtLAqGqq8j5s6AAXz12UWsl/eci/bN/c/l4e+nnNbvV9ulfNfKTpdqXXrx8tjJ8uWS7qZBqUTdEA2Lt+x4AAAAAcONAyNvbW2+++aYaN26sW265RbfddpupDLL6B1kmTpyo3r17lz7eajjdvXt3U1V0+eWXa8+ePfrkk09MWAQAZys3v1C/J6ea84E2BkIl6tYM1Ns3dNW6Zy7QpR0iVVjk0Pg5SWr+6M967qd1OpJbUOGfc/zcJHN5e9/oKq+QAgAAAOBB286HhYXppZdeOu59o0aNMkeJGjVq6NlnnzUHAFS0xVsOKDuvUHVrVFPL+jXkLOLq19Dku/pq7qb9Gv31Si3delBP/rBW4+Yk6blhbfW3ns3McrOztXzrQS3belD+vt76e8+oChk7AAAAAOdl377GAOCEy8Ws6iCrab2z6RsToUWPDtHn/+ihpuHVtTstW7d+uEQdn/lNU9btqbDqoCs6N1J4SEAFjBgAAACAMyMQAoBjGko7w3KxE7GWcV3bvanin7vQ7D4WGuSntbvSdd6rszXk5VlavePQGT3v4ex8fb54mzkfSTNpAAAAwCMQCAHweFY/nkWbD5TuMObsAvx8dP/Qlkr6z8W6d3Cs/Hy8NW3DXnV89jfdPHGRdh7MOq3n+2zRVvM9sJbK9W5Rp9LGDQAAAMB5EAgB8Hi/J6Uov7BIjWsHKapOsFxFWHCAXr66kzY+d4Gu6tJYDof04YItinn8Zz3+/RpT+VMeh8Nh+hGVVAc543I5AAAAABWPQAiAx5t1zHIxVwxEoiNC9NXIXlr06GBT4WM1x/73L+vV/NGf9PasROUXFJ3wYxdvPqA1O9NUzc9HN/ZoVqXjBgAAAGAfAiEAHm9m/H5zObCl8/YPOhXdo8I198Fz9d0dvdWibohSMnJ152fL1Pbp/+mHlTtNNdCflVQHXdO1sWpV97dh1AAAAADsQCAEwKOlZ+WZ7dYtA2JdOxCyWBVOl3VqpPXPXKA3ruus8OAAJezN0LC35qnfizO05GivJMuhI3n6aul2cz6CZtIAAACARyEQAuDR5m5KUZHDoZi6IWpYO0juws/XW3cNjFHSfy7Sw+e3NEvC5iWmqPt/puraCb9rS0qmPl64RTn5hWrfKFTdo8LsHjIAAACAKuRblZ8MAJx1u/kBTrzd/NmoGeSv/17eQXcMaGEaTX+yaKu+XLJd363YqZBqxf8EjOhLM2kAAADA01AhBMCjzTymobQ7a1S7uj66tYeWPzFU57asq7yCIh3IzFP1AF9df05Tu4cHAAAAoIpRIQTAY6Vm5Jodtiz9YyPkCTo2rq1p9w3Qb+v26I0ZmzS8UyPVCPSze1gAAAAAqhiBEACPNTuhuDqobWRNRdSoJk9hLQ87v20DcwAAAADwTCwZA+CxSpeLufh28wAAAABwugiEAHgsT+kfBAAAAAB/RiAEwCPtTstSwt4MeXt5qW+MZ/QPAgAAAIASBEIAPNKs+P3mslOTWgoN8rd7OAAAAABQpQiEAHgklosBAAAA8GQEQgA8EoEQAAAAAE9GIATA42xJydTW1CPy9fFS7xZ17B4OAAAAAFQ5AiEAHlsd1L1ZmKoH+No9HAAAAACocgRCADwOy8UAAAAAeDoCIQAexeFwlO4wRiAEAAAAwFMRCAHwKAl7M7QnPVvV/Hx0TnS43cMBAAAAAFsQCAHwyOVivZqHm1AIAAAAADwRgRAAj0L/IAAAAAAgEALgQYqKrP5BxYHQAAIhAAAAAB6MQAiAx1izM00Hj+QpOMBXXZrUtns4AAAAAGAbAiEAHqOkOqhvTIT8fPnzBwAAAMBz8Y4IgAf2D4qweygAAAAAYCsCIQAeoaCwSHM27TfnA1vSPwgAAACAZyMQAuARlm87qIycAtUK8lf7hrXsHg4AAAAA2IpACIBHLRfrHxshb28vu4cDAAAAALYiEALgEWZuPNo/iOViAAAAAEAgBMD95eYX6vfkVHM+MI5ACAAAAADOKBB6/fXXlZycXPGjAYBKsHjLAWXnFapujWpqWb+G3cMBAAAAANcMhDZs2KBhw4bpkksu0fjx47Vjx46KHxkAVPRysbi68vKifxAAAAAA+J7JB40bN06ZmZmaNm2afvvtN7355puKi4vThRdeqPPPP19167IkA4DzNZQeEBdh91AAAAAAwLV7CAUHB+uyyy4zFUILFixQr1699Morr2jAgAG68cYb9fPPP1fsSAHgDGTlFmjR5gPmnP5BAAAAAHAWFUIlVq5caSqEpk6dqvT0dA0ZMkQXXHCBUlJS9PLLL2vu3Ll68cUXz+ZTAMBZ+T0pRfmFRWpcO0hRdYLtHg4AAAAAuG4g9O9//9ssFztw4ID69u2rBx54QOeee64CAgJKH1O9enU9/vjjFTlWADjj5WL0DwIAAACAswyErB3GRo0aZSqCQkJCjvuYtm3b6q233jqTpweACjMzfr+5HNiS5WIAAAAAcFaB0MSJE81lUlKS6R/k7e2t2NhYNW7cuPQx1vmx1wGgqqVn5WnZ1oPmfEAsgRAAAAAAnFUgZC0VsyqEVqxYoZo1a6qoqMjsOlbSWPpEVUMAUJXmbkpRkcOhFnVD1LB2kN3DAQAAAADX3mXs0Ucfla+vr6ZPn67Fixdr6dKlprl0Tk6Onn766YofJQCcZf8gAAAAAMBZVggtWbJEX3/9tRo2bFh6W5MmTUwT6euuu+5MnhIAKtysBAIhAAAAAKiwCqFGjRopISHhL7fv3r1bDRo0OJOnBIAKlZqRq9U70sx5/9gIu4cDAAAAAK5fIXT55ZfrmWee0fr169WxY0ezfGzjxo36+OOPNXz4cE2ePLn0scOGDavI8QLAKZl9tDqobWRNRdSoZvdwAAAAAMD1A6GPPvrINI6eMmWKOUpUr169zG1eXl4EQgDs7R/EdvMAAAAAUDGB0MyZM8/kwwCgygMhtpsHAAAAgAoKhCz79+/XZ599puTkZBUWFioqKkpXXnmlmjZteqZPCQAVYndalhL2Zsjby0v96B8EAAAAABXTVHrZsmUaOnSo2XLe2mnMOqyt5y+99FItX778TJ4SACrMrPj95rJTk1oKDfK3ezgAAAAA4B4VQi+88IJuuOEG3X///WVuHzt2rMaMGaMvv/yyosYHAGfeP4jt5gEAAACg4iqEEhMTzU5jf3bFFVeY3cYAwE4EQgAAAABQCYFQZGSk1qxZ85fbV69erfDw8DN5SgCoEFtSMrU19Yh8fbzUqzl/jwAAAACgwpaM3XbbbXrqqae0efNmtWvXrjQM+uSTT3TfffedyVMCQIVWB3VvFqbgan52DwcAAAAA3CcQGj58uLn89NNP9cEHHyggIEDNmjXTv//9b51//vkVPUYAOGUsFwMAAACASgqE3nvvPV100UWlwRCA8h3IzDVhxeWdGsnb28vu4bglh8NRusMYgRAAAAAAVHAPoXHjxik/P/9MPhTwWNe/u0BXjftdr89IsHsobithb4b2pGermp+PzommfxAAAAAAVGggZFUHvfPOO9q6davy8vLO5CkAj7J6xyFNWb/XnL89O0lFRQ67h+TWy8WsZtJWKAQAAAAAqMAlY3PnztXu3bv1/fffH/d+tp4HynppanzpeeK+DM1K2KdzW9azdUzuHAgNiGW5GAAAAABUeCD0wgsvnMmHAR5p58EsfbFkmznv3aKO5iemaPycJAKhCmZVXc0qaSjdkkAIAAAAACp8yZhVGdSqVSt169atzBEbG2t2HgPwB6tnUEGhQ/1iIvTWdZ3Nbd+v3Km96dl2D82trN2VpoNH8hQc4KsuTWrbPRwAAAAAcI8KoZUrV2rbtuIqh8mTJ6t169YKDg4u85jNmzdr/vz5FT9KwEUdzs7X+LnJ5nz00Di1a1RLPaPDtSA5VRPnb9ajF7a2e4huY+bG4uqgvjER8vM9o6wbAAAAADzGKQdCgYGBeuONN8y2ztZhbT3v7f3Hmy4vLy8FBQVp9OjRlTVWwOW8Ny/ZhEJx9WrogrYNzG0j+zc3gdCEucl66PyW8jnm9whn3z9oYFyE3UMBAAAAAPcJhOLi4jRjxgxzfuONN+rNN99UzZo1K3NsgEvLLyjSq9OLt5i/f0icvL29zPkVnRvpni9XaNuBI5qybq8uaFccFOHMFRQWac6m/eac/kEAAAAAUL4zKk345JNPCIOAcnyzfLt2HMxSREiAbujRtPT2QH9f/b1nM3M+bk6SjSN0H8u3HVRGToFqBfmrfcNadg8HAAAAANxzl7ENGzbo+eef19q1a1VQUPCX+9l2Hp7OWlY5dkrxVvOjzo1RNT+fMvff3q+5Xp6WoF/W7Nb2A0fUOKy6TSN1r+Vi/WMjSiuxAAAAAAAVHAg9+uijCgkJ0WuvvfaXxtIAZLY/X7n9kAL9ffTP/i3+cn9svRoaGFfXBBlWn6Fnh7WzZZzuYlY8y8UAAAAAoNIDIWs3sZ9++klNmjQ5kw8H3F5JddAtvaIUFhxw3MdYzaWLA6HNeuKiNuyMdYZy8ws1PynFnFshGwAAAACgfGf0DrRly5ZKTi7eShtAWet2penXdXvk5SXdOzj2hI+7tEOk6S+0Jz1bP63eVaVjdCeLtxxQdl6h6taoppb1a9g9HAAAAABw3wqhSy+9VI8//riGDx9uqoT8/PzK3D9s2LCKGh/gcl6eWlwdNLxTI0VHhJzwcf6+Prq1T7T++78NGj83ScM7N6rCUbqPmRuL+wcNiIuQl5XCAQAAAAAqJxB67733VK1aNf3vf//7y33WGzICIXiqPWnZ+nTRNnM+ekhcuY//R59ovfDrBk1dv1fJ+zNOGiDh5A2lWS4GAAAAAJUQCC1dulQdO3aUr6+vZs6cedzHZGdn66OPPjqNTw+4lzdmblJ+YZF6NQ/XOdHh5T6+WZ1gnde6vlliNmFusv7vig5VMk53kZVXoEWbD5hzAiEAAAAAqIQeQjfddJPS09PL3HbxxRdrz549pdePHDlidh4DPFFmTr7emZ1ozkcPbXnKH2c1l7ZMnL/ZNEjGqfs9KdUEcI1rBymqDjseAgAAAECFB0IOh+Mvt+3cuVMFBQXlPg7wBFagk5aVrxZ1Q3Rx+wan/HEXtG2ghrWClJqZq+9W7KjUMbqbWQlHt5uPq0v/IAAAAAA4DRW+zzVvyuCJCgqL9Mr0BHN+3+BY+Xif+q+Wr4+3/tE32pyPm5NUaWN0R7PijwZCLVkuBgAAAAC2BkKAJ/puxU5tTT2i8OAA3dSj2Wl//K29o+Tj7aW5m1K0YXfZpZk4vszcQi3fdsicD4glEAIAAACA00EgBJwla5nk2CkbzfmdA1ooKOD0N++LrBWkS9pHmvPxVAmdkhV7slXkcJgleg1rB9k9HAAAAABwKaf1zvXXX39VcPAfjVuLioo0bdo01a5d21zPyMio+BECTm5eYoqWbj2oan4+umNAizN+nhH9muv7lTv10YIt+u/w9mcULHmSpbuyzCW7iwEAAADA6Tvld5wNGjTQxIkTy9wWFhamTz/9tMxt9evXP4NhAK5r7JR4c/m3ns0UUaPaGT/P4Fb11Cy8urakHtHXy7br772iKnCU7mf5rmxzSSAEAAAAAJUYCM2cOfMMnh5wb/F7Duun1btk9VK/d3DsWT2Xt7eXqRJ6eNJq01yaQOjErB3ZNh3INef9YyPsHg4AAAAAuBx6CAFn4eVpxdVBVv+f2Ho1zvr5bu4VJT8fby3efEArtx+sgBG6pzlHt5tvG1nzrKqyAAAAAMBTEQgBZ2hferY+XrDFnI8e2rJCntMKNy7v3NCcj5+TXCHP6Y5mHQ2EqA4CAAAAgDNDIAScobdmJSq3oEjdo8LUq3l4hT3vyH7Fjak/W7RVGTn5Ffa87mRWfHEgNIBACAAAAADOCIEQcAaycgtMIGQZPSROXlYToQrSN6aO4urVUGZugQmFUNbutCwl7MuQt1fx9woAAAAAcPoIhIAz8OGCLTp4JM/sCnZZp+IlXhXFCpdG9m9uzq3m0g6Ho0Kf312qg+LCAxQa5G/3cAAAAADAJREIAaepsKhIL08tbiZ935A4+XhX/K/RTT2aqZqfj1bvSDMNpvGHmfH7zGWXyCC7hwIAAAAALotACDhNP6zcpeSUTNUK8je7glWGWtX9dXXXxqVVQvgDgRAAAAAAnD0CIeA0jT1aHXTHgBaqHuBbaZ9nZL/iZWNfLd2uQ0fyKu3zuJItKZnamnpEvt5e6lA/0O7hAAAAAIDLIhACTsOCpBQtTE6Vv6+37hpYvBtYZbF2L2vfKFQ5+YX6eGHx9vaerqQ6qFuzMAX58ecLAAAAAM6Ure+odu3apTvuuENdunRR9+7d9eSTTyozM/OEj580aZIGDRqk9u3b6+abb9b27durdLzAmCnF1UE3ntNU9WpWboWKaS59tEpo3GyaS1tmHQ2EBsSx3TwAAAAAuGQgZL25HTFihAoLC/Xll19qwoQJWrlypZ566qnjPn7OnDl65plndNddd+mbb75RtWrVdPvtt6ugoKDKxw7PtGnvYf2wamdpM+mqcP05TRUc4Kv4vYc1d1OKPJn1N2Pm0R3GBsQSCAEAAACASwZCqampat68uZ577jlzaVX9XHnllVq4cOFxHz9x4kQNHz5cw4YNU0xMjMaMGaN9+/aZoAioCq9MS5BVpHNhuwZq1aBmlXzOkGp+JhSyjJuTKE+WsDdDe9Kzze5r50SF2T0cAAAAAHBptgVCderU0auvvqqIiOL/6d+2bZt++OEH9erV6y+PLSoq0urVq9WtW7fS24KDg9WqVSstW7asSscNz5SSkaMPFxT38RldRdVBJUb0izaXk5bv1P7DOfL0/kE9o8NNKAQAAAAAOHOVt0XSabjhhhu0dOlSRUZGavTo0X+5Pz09XdnZ2aXh0bGh0t69e8/oc1pL1awDzqfk5+JMP583Z2wyzZ07N66l3s3DqnRs7SJrqluz2lqy5aDen5ekB89rKU80Y2Px73r/2DpOOUfgXJgjKA9zBOVhjqA8zBGUhzkCO+bI6TyXUwRCjz32mLKysswysJtuukk//vijAgICSu/PySmuivD39y/zcdb1kzWhPplNmzad5ahR2dauXStnkFNQpNenF1cHDY8JMNVqVe38pn5askV6a3q8BtXNkbeXlzxJkcOhGet3m/OG3umlc8NZ5gicF3ME5WGOoDzMEZSHOYLyMEfgrHPEKQKhli2LKx5ef/119evXT7Nnz9bQoUNL7y8Jh/Ly8sp8nHU9MPDMdnqy+hAFBQWd1bhROaxE0/qFaNu2rXx87F8aNGFustJyCtUkLEj3D+8tX5+qX2kZ06pAry76Sbsy8pXiX19DW9eTJ1m9I03puYmmwfa1g7vLWw6nmiNwPs72dwTOhzmC8jBHUB7mCMrDHIEdc8QqtjnVAhhfO5tKL1myRBdccEHpbdaSsNDQUB08eLDMY63brF3FUlLK7rJkXbeaUZ8J65vNL6Vzc4afUVGRQ69ML/5lundwnAL8/WwZR0igj/7Ws5len7FJ787brAvaRcqTzDm6w1rfmAhV8/crLYN0hjkC58YcQXmYIygPcwTlYY6gPMwRVOUcOZ3nsa2p9K5du3TvvfcqMfGPnZN27txpwqAWLVqUeay3t7c6dOig5cuXl95mLRXbsGGDunTpUqXjhmf5afUuJe7LUGiQn27pHWXrWEb0a146pl2HsuSJDaUHxrHdPAAAAABUBNsCIaskqlOnTnr00Ue1fv1605flnnvuMbuMWSHPkSNHylQE3Xjjjfryyy81adIkU/704IMPqn79+maJGVBZxk6NN5cj+zU3W8Dbydrqvm9MHRUWOfT+/M3yFAWFRZqzab85HxBX1+7hAAAAAIBbsC0Qsqp+3nzzTTVu3Fi33HKLbrvtNlMZZG1Fb5k4caJ69+5d+vhBgwbpkUce0RtvvKGrrrpKubm5Gj9+PKV3qDSLklM1PzFFfj7eGnVujJyBFUxZ3p2bbIIST7B820Fl5BSoVpC/2jcKtXs4AAAAAOAWbG0qHRYWppdeeum4940aNcocx7r++uvNAVSFl45WB13fvYkahDpHA/LhnRopPHiFdh7K0v/W7tYlHRrK3c2KL64O6h8bIR9v2zJsAAAAAHArvLsCjiN5f4a+W7HTnN8/NE7OIsDPp7SX0bjZSfKo/kEtWS4GAAAAABWFQAg4jlenJ6jI4dB5beqrTaRzLVO6vW+0ufxt/R5tScmUO8vNL9T8pOJeYgPpHwQAAAAAFYZACPiTA5m5mni0afNoJ6oOKhEdEaIhrevJ4ZDenZcsd7Z4ywFl5xWqbo1qalm/ht3DAQAAAAC3QSAE/Im1FCsrr1AdGoU6bVXKiL7FzaXfn5esvIJCuauZG4uXiw2Ii5CXl5fdwwEAAAAAt0EgBBwjJ79Qb8zcZM5HD23ptCHExe0jVb9moPZn5Gryyl1y+/5BThrMAQAAAICrIhACjvHZoq3adzhHDWsF6aoujeWs/Hy9dVuf4ubS4+e4Z3PprNwCLdp8wJwTCAEAAABAxSIQAo4qKnKUbjV/z6AYE7o4s9v6RMvby8tU0STsPSx383tSivILi9S4dpCi6gTbPRwAAAAAcCvO/Y4XqEK/rtutjXsOq0agn/5xtEePM2scVl0Xtmtgzie4YZXQscvFnHXpHgAAAAC4KgIh4KixU+JLt3W3QiFXMLJfcXD14YItys4rkDuZGb/fXA5guRgAAAAAVDgCIUDSsq0HNDthv3x9vHT3uTFyFUPb1FOTsOo6eCRP3y7fIXeRnpWnZVsPlu4wBgAAAACoWARCgFTaO+iark3UqHZ1uQofb29T0WQZN9t9lo3N3ZSiIodDLeqGuNTPAwAAAABcBYEQPN7W1Ex9s6y4uub+IXFyNbf0jjKVTQuSU7VmxyG5g1kJbDcPAAAAAJWJQAge77Xpm1RY5NCglnXVoXEtuZp6NQM1rENDcz5+brLcraE0AAAAAKDiEQjBox06kqd35xWHKKOHtpSrGtm/uLn0Jwu3KDMnX64sNSNXq3ekmfP+sfQPAgAAAIDKQCAEjzZhbpKO5BaoTWRNDWldT65qQGxd028nI6dAXyzZJlc2++hyMetnElGjmt3DAQAAAAC3RCAEj5VXUGiWi1lGD4mTl5eXXJW3t5dGHG0uPX6Oay8bY7kYAAAAAFQ+AiF4rC8Wb9Oe9Gw1CA3Utd2byNX9rWeUAny9tXzbQS3bekCuikAIAAAAACofgRA8ksPh0NijW83ffW6M/H195OrCQwJ0ZZfGLr0F/e60LCXszZC3l5f60T8IAAAAACoNgRA80tT1e7VuV7qCA3w1ol9xQ2Z3MPLo12L1EUrLypOrmRW/31x2alJLoUH+dg8HAAAAANwWgRA80tgpG83lbX2i3Sp46Nk83DRjzsor1KeLtspVl4sNoDoIAAAAACoVgRA8zqrthzR94z75eHvpX4Ni5E6sxtglVULWsjFraZxL9g9qSf8gAAAAAKhMBELwOC8d7R10ZZdGahoeLHdzwzlNFeTvo/W70/V7UqpcxZaUTG1NPSJfHy/1bl7H7uEAAAAAgFsjEIJH2XHwiL5cus2c3z8kTu6oZpC/ru1WvGvauNmJchWzEoqrg7o3C1NwNT+7hwMAAAAAbo1ACB7l9RmbVFDoUP/YCHVpGiZ3NbJ/8bKxb5bvUGpGrlzBzI1sNw8AAAAAVYVACB4jPStP4+cUb8c+eqh7VgeVsMKuzk1qK6+gSB8t2CxnZ/U6mnl0hzECIQAAAACofARC8BjvzUtWRk6BWtavofPbNLB7OJWupLn0+LnJKipy7ubSCXsztCc9WwG+3jonOtzu4QAAAACA2yMQgkfILyjSq9M3lfYO8vb2kru7pltj1Qj0U+K+jNL+PM6+u1iv5nVUzc/H7uEAAAAAgNsjEIJH+GrpNu08lKW6Narp+nOayhNYjZlvPPq1WlvQu8R28ywXAwAAAIAqQSAEt2f1pxl7dKv5UQNjPKoCZcTRZWOTV+3UnrRsOSNrOdvsoxVMA1sSCAEAAABAVSAQgtubsXGfVu9IU5C/T+nuW56ibcNQ9WoebnZWmzjfOZtLr92VpgOZeQoO8FWXJrXtHg4AAAAAeAQCIbi9sVM2mstbekcpLDhAnqakSmjC3CQVFhXJWbeb7xsTIT9f/iQBAAAAQFXg3Rfc2podhzRl/V55e3np3sHuvdX8iVzRuZFqV/fX9oNZ+m3dHjlr/6ABcRF2DwUAAAAAPAaBENzay9MSzOXlnRsqqk6wPFGgv6/+3rOZUzaXLigs0pxN+805DaUBAAAAoOoQCMFt7TqUpc8Xbyvdat6T3X502dj/1u7R9gNH5CyWbzuojJwC1QryV/tGoXYPBwAAAAA8BoEQ3NYbMzYpv7BIfVrUUfeocHmy2Ho1TAVOkcOh9+Yly1nMii+uDuofGyEfb/4cAQAAAEBV4R0Y3FJGTr7GzSleHjV6qGdXB5Uo2WHtvXmblV9Q5FT9g9huHgAAAACqFoEQ3NL785KVnp2vmLohuqhdpN3DcQqXdohU3RrVtCc9Wz+t3mX3cJSbX6j5SSnmfEAsgRAAAAAAVCUCIbgdq1HxK0ebSVu9g7y9veweklPw9/XRrb2jzHlJ9ZSdFm85oOy8QkWEBKhVgxp2DwcAAAAAPAqBENzOt8t3mC3W64QE6MYeTe0ejlP5R99oeXlJ0zbsVdK+DFvHMnPjH8vFvKxBAQAAAACqDIEQ3IrD4dCY3zaa87sGxpgt1/GHpuHBOq91fXM+YW6Sc/QPYrt5AAAAAKhyBEJwK3MS9mvF9kOq5uejO/q3sHs4Tt1ceuLvm00fHztk5RZo0eYD5pxACAAAAACqHoEQ3MrYqfHm8uZezRQeEmD3cJzSBW0bqGGtIB3IzNOkFTtsGcPvSSnKLyxS49pBiqoTbMsYAAAAAMCTEQjBbWzYna5f1uw2PXLuHcxW8yfi6+NteglZxs1OsnW52IA4+gcBAAAAgB0IhOA2Xj5aHTSsQ0O1qBti93CcmrXbmI+3l+YlppggrarNjN9vLlkuBgAAAAD2IBCCW9ibnq1PFm0156OHUh1UnshaQbqkfaQ5H1/FW9CnZ+Vp2daD5nxAXESVfm4AAAAAQDECIbiFN2cmKq+gSD2iw9WzeR27h+NSzaU/WrDFNHmuKlZVUpHDYaq4GtWuXmWfFwAAAADwBwIhuLwjuQV6e1aiOR89hOqgUzWoZT3T0Dk9O19fLd1eZZ+X7eYBAAAAwH4EQnB5H/y+WYey8hRdJ1iXdixeBoXyeXt7aURJc+kqXDZGIAQAAAAA9iMQgksrLCoqbSZ935A4+XgzpU/H33tFyc/HW0u2HNCKbcV9fSpTakauVu9IM+f9Y+kfBAAAAAB24d0zXNr3K3ZqS+oRhQX76+89m9k9HJcTUaOaLu/csMqaS89OKK4OahNZ03xuAAAAAIA9CITgshwOh8ZMKa4OuqN/CwUF+No9JJc0sl8Lc/nZ4m06nJ1fqZ+L5WIAAAAA4BwIhOCyfk9KNUudAny9deeA4lADp69vTB3F1athmnN/tmhrpX6uWfH7zSWBEAAAAADYi0AILmvslI3m8qaezVS3ZqDdw3FZXl5epVvQW82lrcqryrA7LUvxew/L28tL/egfBAAAAAC2IhCCS0rYe1g/rt5lzu8bzFbzZ+umHs1Uzc9Ha3amafHmA5VaHdSxcS2FBvlXyucAAAAAAJwaAiG4pFemJcgqZLm4faTi6tewezgur1Z1f13TtXGlbkH/R/8gqoMAAAAAwG4EQnA5+w/n6KMFW8z56KFUB1WUkmVjXy3droOZuZUXCLWkfxAAAAAA2I1ACC7n7VmJyskvVNemtdWnRR27h+M2ujULU4dGoeZ7+/HC4sCtomxJydTW1CPy9fFS7+b8zAAAAADAbgRCcClZuQV6a1aiOR89tKVpiIyKYX0vR/SrnObSsxKKq4O6NwtTcDW/CnteAAAAAMCZIRCCS7EqV1Izc9U0vLqGd2po93DczvXnNFVwgK8S9mZoTkJxE+iKMHNjSf8glosBAAAAgDMgEILLKCwq0svTEsz5vYNi5evD9K1oIdX8TChUkc2lrUqjmUd3GBtAIAQAAAAAToF31HAZP63ercR9GQoN8tMtvaPsHo7bGtEv2lx+t2Kn9qVnn/XzWdVGe9KzFeDrrR7R4RUwQgAAAADA2SIQgssYO2Wjufxn/xb0oalEHRvXVveoMOUXFumD37dU2O5ivZrXUTU/nwoYIQAAAADgbBEIwSUsTE7V70mp8vPx1qiBMXYPx+2NPNpcesLcJBUVOSpmu3mWiwEAAACA0yAQgkt4aWq8ubzhnCaqHxpo93Dc3lVdGpuleVtSj2jahr1n/DxWmDT76A5jA1sSCAEAAACAsyAQgtNL3p+h71bsMOf3D2lp93A8QlCAr/7Ws9lZN5deuytNBzLzzM5lXZrUrsARAgAAAADOBoEQnN4r0xLkcEjnt6mv1pE17R6OxxjRt3jZ2E+rd2nnwayz2m6+T4s68vPlzw0AAAAAOAveocGppWbkauLvm835A+dRHVSVWjaoqb4xdVRY5ND785PPrn8Qy8UAAAAAwKkQCMGpvTM7Udl5herUuJb6x0bYPRyPbS797rxkFRQWndbHWo+fs2m/OaehNAAAAAA4FwIhOK2c/EK9MXOTOR89NE5eXl52D8njDO/USOHBAdp1KFu/rNl9Wh+7YtshZeQUqFaQv9o3Cq20MQIAAAAATh+BEJzWp4u2KiUjV41rB+mKzo3tHo5HCvDz0S29o86ouXTJcjGrssvHmz81AAAAAOBMeJcGp1TkcOiVacXVQfcMiqUhsY1u7xttLqes36PNKZmnHQgNYLkYAAAAADgd3mXDKc3fdkQJ+zJUM9BPtx0NJGCP6IgQDWldz+z09u7cU6sSys0v1PykFHNO/yAAAAAAcD4EQnBKn646ZC5H9GuukGp+dg/H45U0l544f7PyCgrLffziLQdMM/CIkAC1alCjCkYIAAAAADgdBEJwOku2HNCKPdny9fbS3efG2D0cSLqoXaQahAZqf0auJq/cVe7jZ278Y7t5moEDAAAAgPMhEILTKekddG23xoqsFWT3cCCZHk639SleujduTmK5j5+VcDQQYrkYAAAAADglAiE4lS0pmZq0Yqc5v3dwrN3DwTFu6xMlby8vzYrfr/g9h0/4uKzcAi1MPmDOCYQAAAAAwDkRCMGpvDo9wewwdk6jILVrGGr3cHCMRrWr68J2Dcz5hJM0l/49KUX5hUVqVDtIUXWCq3CEAAAAAIBTRSAEp3EwM1fvz99szm9oX8vu4eAkzaU//H2LsvMKTrrdvFUdRP8gAAAAAHBOBEJwGuPnJulIboHaNayp7g3pHeSMhrappyZh1XUoK0/fLNtx3MfMjN9vLlkuBgAAAADOi0AITiE3v1CvzyhuJn3f4FgqS5yUj7e3bu9b0lz6r8vG0rPytGzrQXM+IC6iyscHAAAAADg1BEJwCp8v3qa96TmKrBWoq7o0sns4OIlbekfJ18dLC5NTtWbHoTL3zUtMMT2gWtQNMT2HAAAAAADOiUAItnM4HBo7daM5/9e5sfL39bF7SDiJejUDdVnHhuZ8/NzkE/YPAgAAAAA4LwIh2O63dXu0YfdhhVTzLV2OBNdoLv3Jwi3KzMn/SyA0IJblYgAAAADgzAiEYLuxU+LN5T/6RKtmkL/dw8EpGBBXVzF1Q5SRU6Avlmwzt6Vm5Gr1jjRz3p9ACAAAAACcGoEQbLVi20FTVeLj7aV/DYq1ezg4RVbT7xFHq4TemZ1klv3NTiiuDmoTWVN1awbaPEIAAAAAwMkQCMFWL00trg66umtjNQ6jCbEr+VvPZgrw9dbK7YfMzmL0DwIAAAAA10EgBNtsP3BEXy3dbs7vHxJn93BwmsKCA3Rll8alW9DPit9vzgmEAAAAAMD5EQjBNq9NT1BhkcMECJ2a1LZ7ODiL5tKfLdqq+L2H5eUl9Y2hfxAAAAAAODsCIdgiLStPE45uWT56KNVBrqpn83DTMyi3oMhc79S4tmpVpzE4AAAAADg7AiHY4t25ycrMLVCrBjV0Xpv6dg8HZ9FcuqRKyDIwjuogAAAAAHAFtgZCqampeuCBB9SzZ091795dd911l3bv3n3cx2ZlZSkuLk6xsbFljlWrVlX5uHF28goK9dqMBHM+ekhLEyrAdd1wTlMF+fuY84Et6R8EAAAAAK7A185Pfvfdd5vtqidMmCBfX1+98MILGjFihL777jv5+fmVeWxSUpJ5zIwZM+Tt/UeOFRoaasPIcTasRtK7DmWrXs1quq57E7uHg7NUM8hfn97Ww+w2NqQV1V4AAAAA4ApsC4Q2b96s5cuX63//+5+io6PNbVYg1K9fP23YsEHt27cv8/jExEQ1atRIdetSgeDKrABw7JTirebvPjdGAX7FlSVwbZd1amQOAAAAAIBrsG3JWHh4uKkMatasWeltJUuHDh8+/JfHW4FQVFRUlY4RFW/6hr1aszNN1QN8NaLvH71nAAAAAACAB1QI1ahRw1QDHevDDz9U9erV1bFjx+MGQrm5ubruuuu0bds2U1V0//33/6WS6FQVFhaaA1VrzJSN5vKWXs1UM9D3uD+Dktv4+eBEmCMoD3ME5WGOoDzMEZSHOYLyMEdgxxw5nefyclhreJzA5MmT9fDDD+uJJ57Q9ddf/5f7+/fvr5CQED366KMmNPriiy/0yy+/6IcffihTZVQeqzn1xo3FoQSqVuKBXF379TZ5e0nfX9dMkTXK9okCAAAAAABnr2XLlgoKCnLeptIlPv/8cz333HO65ZZbjhsGWX799VdzGRgYaC7btm2rtWvX6uuvv9ZDDz102p8zJiam3G8OKtZrHyw2l5d3aqQL+3Y9aaJp/Wytn7GPDz2G8FfMEZSHOYLyMEdQHuYIysMcQXmYI7BjjlhFMJs2bTqlx9oeCL355pt64403zJbzo0aNOuHjSoKgY/sNWcvG9u7de0af1/pm80tZdXYezNIXS7eb8wfOa3lK33t+RigPcwTlYY6gPMwRlIc5gvIwR1Ae5giqco6czvPY1lTa8t5775kwyFoqdrIw6NChQ+ratavZcv7YJC0+Pr50hzI4tzdmblJBoUN9Y+qoa7Mwu4cDAAAAAIBHs61CKDk5Wa+88oquvvpqXXTRRUpJSSm9r2bNmsrPzzelTnXq1FGtWrXUqVMnvfjii6YZtXX9/fffV1pa2gmXmMF5HM7O17g5SeZ89JCWdg8HAAAAAACPZ1sgNG3aNBUUFOirr74yx7Fee+01s6uYtZwsISHB3DZmzBiNHTtW9957rzIyMsxOZJ988okJh+Dc3p+XbEKh2HohurBdA7uHAwAAAACAx7MtEBo5cqQ5TuS8884rs4zMqgx69tlnzQHXkV9QpFenF4d69w+Jk7e1xRgAAAAAALCVrT2E4P6+Xb5d2w9mKSIkQDf2aGb3cAAAAAAAAIEQKpPD4dDYKfHmfNS5MarmR2d9AAAAAACcAYEQKs3shP1asf2QAv199M/+LeweDgAAAAAAOIpACJVmzG8bzeUtvaIUFhxg93AAAAAAAMBRBEKoFOt2penXdXvk5SXdOzjW7uEAAAAAAIBjEAihUrw8tbh30PBOjRQdEWL3cAAAAAAAwDEIhFDh9qRl69NF28z56CFxdg8HAAAAAAD8CYEQKtwbMzcpv7BIvZqH65zocLuHAwAAAAAA/oRACBUqMydf78xONOejh7a0ezgAAAAAAOA4CIRQoSbO36y0rHy1qBuii9s3sHs4AAAAAADgOAiEUGEKCov0yvQEc37f4Fj5eDO9AAAAAABwRrxjR4X5bsVObU09ovDgAN3Uo5ndwwEAAAAAACdAIIQK4XA4NHbKRnN+54AWCgrwtXtIAAAAAADgBAiEUCHmJaZo6daDqubnozsGtLB7OAAAAAAA4CQIhFAhxk6JN5d/69lMETWq2T0cAAAAAABwEgRCOGvxew7rp9W75OUl3Ts41u7hAAAAAACAchAI4ay9PK24OuiS9pGKrVfD7uEAAAAAAIByEAjhrOxLz9bHC7aY89FDW9o9HAAAAAAAcAoIhHBW3pqVqNyCInWPClOv5uF2DwcAAAAAAJwCAiGcsazcAhMIWUYPiZOX1UQIAAAAAAA4PQIhnLEPF2zRwSN5ahZeXZd1amj3cAAAAAAAwCkiEMIZKSwq0stTi5tJ3zckTj7eTCUAAAAAAFwF7+JxRn5YuUvJKZmqFeSvm3tF2T0cAAAAAABwGgiEcEbGHq0OumNAC1UP8LV7OAAAAAAA4DQQCOG0LUhK0cLkVPn7euuugS3sHg4AAAAAADhNBEI4bWOnFFcH3XhOU9WrGWj3cAAAAAAAwGkiEMJpSdyXocmrdpY2kwYAAAAAAK6HQAin5ZVp8XI4pAvbNVCrBjXtHg4AAAAAADgDBEI4ZSkZOfrg9y3mfDTVQQAAAAAAuCwCIZyyd2YnKSe/UJ2b1Fa/2Ai7hwMAAAAAAM4QgRBOSXZegd6cucmcjx4aJy8vL7uHBAAAAAAAzhCBEE7JJwu3KiUjV41rB+mKzo3sHg4AAAAAADgLBEIoV1GRQy9NLd5q/t7BsfL1YdoAAAAAAODKeGePcv28Zpc27ctQzUA/3don2u7hAAAAAACAs0QghHKNnVJcHTSyX3OFVPOzezgAAAAAAOAsEQjhpBZvTtW8xBT5+Xjr7kExdg8HAAAAAABUAAIhnFRJ76DruzdRg9Agu4cDAAAAAAAqAIEQTmhzSqYmLd9pzu8fGmf3cAAAAAAAQAUhEMIJvTotQUUOh85rU19tIkPtHg4AAAAAAKggBEI4roOZuXp/frI5H011EAAAAAAAboVACMc1bk6SsvIK1aFRqAbG1bV7OAAAAAAAoAIRCOEvcvIL9fqMTeZ89NCW8vLysntIAAAAAACgAhEI4S8+W7RV+w7nqGGtIF3VpbHdwwEAAAAAABWMQAhlFBU5Sreav2dQjPx8mSIAAAAAALgb3u2jjF/X7dbGPYdVI9BP/+jb3O7hAAAAAACASkAghDLGTimuDrq9b7QJhQAAAAAAgPshEEKpZVsPaHbCfvn6eOnuc2PsHg4AAAAAAKgkBEIoVdI76JquTdSodnW7hwMAAAAAACoJgRCMramZ+mbZDnN+/5A4u4cDAAAAAAAqEYEQjNemb1JhkUODWtZVh8a17B4OAAAAAACoRARC0KEjeXp3XrI5Hz20pd3DAQAAAAAAlYxACJowN0lHcgvUJrKmhrSuZ/dwAAAAAABAJSMQ8nB5BYVmuZhl9JA4eXl52T0kAAAAAABQyQiEPNwXi7dpT3q2GoQG6truTeweDgAAAAAAqAIEQh7M4XBo7NGt5u8+N0b+vj52DwkAAAAAAFQBAiEPNnX9Xq3bla7gAF+N6Nfc7uEAAAAAAIAqQiDkwcZO2Wgub+sTrdAgf7uHAwAAAAAAqgiBkIdatf2Qpm/cJx9vL/1rUIzdwwEAAAAAAFWIQMhDvXS0d9CVXRqpaXiw3cMBAAAAAABViEDIA+04eERfLt1mzu8fEmf3cAAAAAAAQBUjEPJAr8/YpIJCh/rHRqhL0zC7hwMAAAAAAKoYgZCHSc/K0/g5SeZ89FCqgwAAAAAA8EQEQh7mvXnJysgpUMv6NXR+mwZ2DwcAAAAAANiAQMiD5BcU6dXpm0p7B3l7e9k9JAAAAAAAYAMCIQ/y9bLt2nkoS3VrVNP15zS1ezgAAAAAAMAmBEIewuFwaOyUjeZ81MAYVfPzsXtIAAAAAADAJgRCHmJm/D6t2pGmIH8fjezf3O7hAAAAAAAAGxEIeYixU+LN5S29oxQWHGD3cAAAAAAAgI0IhDzAul1p+m3dHnl7eemeQbF2DwcAAAAAANiMQMgDvHS0Omh4p4aKjgixezgAAAAAAMBmBEJubndalj5bvM2cjx4aZ/dwAAAAAACAEyAQcnNvzNik/MIi9W5RR92jwu0eDgAAAAAAcAIEQm4sIydf4+YkmfMHqA4CAAAAAABHEQi5sYnzNystK18xdUN0UbtIu4cDAAAAAACcBIGQmyooLNIr0xLM+f1D4uTt7WX3kAAAAAAAgJMgEHJTk5bv0LYDR1QnJEA39mhq93AAAAAAAIATIRByQw6HQ2OObjV/18AYBfr72j0kAAAAAADgRAiE3NDcTSlavu2gqvn56I7+LeweDgAAAAAAcDIEQm5o7JSN5vLmXs0UHhJg93AAAAAAAICTIRByMxt3p+vnNbvl5SXdO5it5gEAAAAAwF8RCLmZl6YW9w4a1qGhWtQNsXs4AAAAAADACREIuZG96dn6ZNFWcz56KNVBAAAAAADg+Ai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      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1400x700 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Convergence Plots \n",
    "\n",
    "# all methods all studies\n",
    "def calculate_entropy_for_year(group, methods):\n",
    "    \"\"\"\n",
    "    Calculates the entropy for a group of articles (grouped by year) based on methods used.\n",
    "    Ensures that missing methods are counted as zero occurrences.\n",
    "    \"\"\"\n",
    "    # Create a frequency count for all methods, including missing ones\n",
    "    method_counts = group[methods].sum().reindex(methods, fill_value=0)\n",
    "    \n",
    "    # Normalize the counts to get probabilities\n",
    "    probabilities = method_counts / method_counts.sum()\n",
    "    \n",
    "    # Calculate entropy (Shannon entropy)\n",
    "    return entropy(probabilities, base=2)\n",
    "\n",
    "# Group the dataset by year and apply the entropy calculation to each group\n",
    "entropy_per_year = df.groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n",
    "\n",
    "plt.figure(figsize=(14,7))\n",
    "sns.lineplot(x=entropy_per_year.index, y=entropy_per_year.values, linewidth=1.5, color=colors[0])\n",
    "#plt.title('Entropy of Methods Applied in Articles Over Time')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Entropy')\n",
    "plt.grid(True)\n",
    "plt.gca().xaxis.set_major_formatter(mtick.StrMethodFormatter('{x:.0f}'))\n",
    "plt.show()\n",
    "plt.savefig('entropy_overtime.pdf', bbox_inches='tight', format='pdf')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/27/6d83kd8d67g9658d9cwq7n580000gn/T/ipykernel_6419/1462507046.py:3: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  entropy_all = df.groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n",
      "/var/folders/27/6d83kd8d67g9658d9cwq7n580000gn/T/ipykernel_6419/1462507046.py:6: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  entropy_substantive = df[df['Substantive'] == 1].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n",
      "/var/folders/27/6d83kd8d67g9658d9cwq7n580000gn/T/ipykernel_6419/1462507046.py:7: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  entropy_methodological = df[df['Methodological'] == 1].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/27/6d83kd8d67g9658d9cwq7n580000gn/T/ipykernel_6419/1462507046.py:25: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  entropy_core = df[df['Field'] == 'Social Science'].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n",
      "/var/folders/27/6d83kd8d67g9658d9cwq7n580000gn/T/ipykernel_6419/1462507046.py:26: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  entropy_peripheral = df[df['Field'] != 'Social Science'].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n"
     ]
    },
    {
     "data": {
      "image/png": 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XYuHZukFhICR9h0zMTNn3hRQzK0tcXLoZaRExuLxyO2oM6qz2u9QL1HpoeomBEBEREREREd01707NcHHxJtUjqDyqjZp/+Iz6kO/duXnh/rN/rcaJb/9GyONDUGds/zLfD+kPqSS7sHCDWjq+9ZcTVCgolWhN3pRqIEt4d7l+nJRWRnYuLsSl4nxsKs7FpqhTP1dbPNs1CMaAgRARERERERHdkVTxZMYnFfZmkeoM9+ahsPPzKvNty7Qy3x6t1FZUxKodSL14FTmp6YX78nJzkRR2EU4hNVk5ZMBy0zOw/83pyM3MQu3RfeHRop7a79+v5EvGZ+fk4dK1tMKw51yshD8p6vRcbCquJF4/rooa3qI6PBysYegYCBEREREREdEdl/Te+cIkpF+NRY8lU2FuY6X23yoMOh6ZiJNXkuBkawFnG0s4y6mtJZxsLGBuVtAMuCTazZiIyHV74N4stHBfzO5j2HDfayqM6rZgEkMhAyAVYvK6Jhw7g6CHB6p90ncq5MmhsHCwg1NQjZteLzcvDxHX0nE+LhXnYlIKTotU+1y+lo68/Pzb3retpRkC3O0R4G6Hmu526BTkaRRhkGAgZKSOHDmCmTNnYs+ePYiPj4enpyfatGmDxx9/HP7+/loPD+vXr8dvv/2GY8eOITMzE9WqVUPnzp3x5JNPws3NrVzv66uvvsLXX3+NU6dOlfg6r732Gnbv3q3GeTsLFizA3LlzERYWhtzcXPj5+aFnz5545JFHYG9vX+L769q1K1q2bIlPPvmkxNchIiIiIiov+bm5SDh+FtnJaYg/fBqererfMgh6e9ERzNt36Za3ZWdlXhAQFQmKnG3+Pf03NCq2v15dZJpawjk5Q/0uOfwSTK0s4BDoXywMkull7i3qquXuSb9Ixdf6Ya/AxNwM/n3bw6ZawWe+euMeQFRSBvbGpODcidjrU7v+DX4uxqciJ/f2gY+VuakKeiT0qelm92/wcz0Acre3MtpQkYGQEZo9ezY++ugjtGrVCuPHj1dh0IULF/DTTz9h9erVKogJCQnRbHz//PMP/ve//2HEiBEYO3YsTE1NcenSJfzwww/YsGED5s+fDyen66sUlNW9996LDh06oLxJyDR9+nQ8/PDDeOqpp2BhYYGjR4/ixx9/xJYtW/Dnn3+qfSW9rbsJkIiIiIiIyqNqQ/dB2cbTFe2mT4SFox2cQ2r+57Kno5Lx7uIj+GP3BUhBhlytWQ1XpGflIiE9C4lp2UjJzFGXTc3MUZtUdpSGjaUZqvUZBfd8wPzjNSo0qpaTgR7TvoJJfj4uf/4WHLzdi4RMxUMnKwuzMj4zVFZpV2KRfPYyPNs2QmxKJs5Z2AON6yLJwQGvzTuAU9lmKvSRACgzJ++2t2VuZoIarnbFQx8Pu3/DH3t4OVrD1NQ4A587YSBkZPbt24cPP/wQo0aNwuuvv164X8Kh7t27Y9CgQZg4caKqbNHKN998g379+uGdd95Rf4TS0tLQqVMntGjRAgMHDsTff/+NRx99tNzuT6qPZCtPWVlZKsCSSqCXXnqpcH/btm1Rq1YtPPPMM1i7di369OlToturW7duuY6PiIiIiOh20q/GYee4yWgw7gG4Ny94L+rRsqCHS1HSkPf9JUfx6/ZzyM0rqNQY0tQP7w5sgPq+zv/p55KUkY2EtCwkpGWroEidpmUhMf3m+9WWnq1+n5SeXTC2rFycA3BO8qTEWLXPNyUBnm7esMjNxQdr1W/V/gFnjyLfxARbfGoh0cpG7bO2MPtvFdK/1Um688V+X+wyFur6xlpRUhrXUrNwPi4F52JSVcgTu/c46s/4GWlW1pjQdRgSc/6t8PFsWpAkHowpdn1TExP4u9oWqe75N/hRp3bwcbaBmWnJpyHSdQyEjIxUATk4OGDcuHH/+Z2rq6uaCnXu3DkVwtja2qppTnPmzFGbVBHJZfr374/nnnsOVlYF84blOleuXEHNmjWxZMkSFa7IqfwnKdUwEuDI7319ffHAAw9g9OiCJSlvJTY2VgVBN5KqJakcKlq9JNPJ5D7k/iIiIuDt7Y1hw4apwEgqi3QWLlyoKp/Onj0LFxcXDBgwQD0GS0vL/0wZk8csz9PixYtx8eJFdTtyny+++CJat25douc5JSUFGRkZyMv7b5ot4ZaEREWn5snlp0yZoiq0kpOTERgYqMYn0+RuNmVMHveXX36JZcuWIS4uDgEBAaoKqW/fvoW3KdeRgC89PR2LFi1S9yGh2ptvvqleK51Nmzbhu+++w8mTJ1UVklxvwoQJcHR0VL+PjIzEpEmTsHXrVnW/jRs3xquvvlospFq6dCm+//57nD9/Xh037du3x8svvwwvr7I3GCQiIiKiynds2hxEbTmI9Kh49FnzLUxu+MAdcS0NHy0/jh82n0F2bsF73n4NffDewAZoWsP1prdpYW4KN3srtZWG9ItJSs/5NyQqGhrpQqX2SEjNwNiMXPVzUnIGBm88AZvMDER7eGKPtY2qXsrIylGrS8lUpNKwNDf9NzAqCIrsrc1hZW6mpibJqfxenbco2GdpVuT8v5cpuGyRny2KX67Y7dxwm3K5qlTxkpKR/W+z5uLTuXR9fFJTM+CcmY5Ym4IZD2Z5efjSwhrR1vYwT04BbApCHRX2qOqef6dz/Vvh4+diq44dKn8MhO6SfCC+FQkOik4But1lJSyRMKI0l5Xqk6I/l5SELPKhXj7w29gUpOM3KhooiLfeekuFCY899hiaN2+O48ePqwqeEydOqCBGl4zv3btXBUTyOwmTzMzM1HWl0uiJJ55AkyZNVL8imaqWlJSkKmRuRUIQCTrkOenduzcaNGiAGjUKmog9+OCDxR6P9BQ6ePAgnn32WRXa7Nq1C1OnTlVTzN5///3CKXLvvfeemhomQZj87rPPPkNiYqLafyMJP2Q6l0ynCw4ORlRUlHpcL7zwAjZu3HjL564oCc4aNWqkgqXo6Gj06NEDTZs2VfvlGJFx60gAJdPKJEx5/vnnVQWRTJuT50hCLHneb3wd5Xf79+9Xl5fwaM2aNSpkkmNDQiAd6RPVrFkzfPzxx+rxSnWYhDl//fWX+r1MwZMgqVu3bup5S0hIUM+NhGsydukvJVP35DFLkCSnMiapMJs3b566b6k6e+WVV/D000+rwOnq1av4/PPP1fP3+++/3/G5IiIiIqKqp9HEh5AZn4gGr4wpFgZFJ2XgkxXH8e2G04VTebqFeuH9QQ3RJtC9QsckVSAudpZqK4ncjCyc88vG1c0HsGP6M4CJKZIzsnF8xgJEr90J66G9kNGkQbEqpMKqpP9UKhX8XhoUZ+XkISY5U21akWlSumDpvyHTv+dLGjLdJJC68TalD/jRC6nYmRiOC3GyaldBtY+EPnEpWbccZ2h8FJ4/tBnX7B2xaPjIwiofiyH10S7AE6Pc7FDDzY7T+DTCQOguyQfwW6lfv76q6tCRKgv5gH4zQUFB6gOzjkzTkgqOm5EwRH6vI1OpJFi5W9euXVMhizQ2Lonw8HD1oV/GKc2mRbt27VTPIQkANm/erKpdRE5OjgpXdFOvpMpImilLAKO7rlSNSIA0Y8YMjBw5UlXq3IwEOVJZI9UyMq1KVK9eXYUWDz30UGHVidz/9u3b8cUXX6gpZrrxWVtbq+qZMWPGqMBCwhyZDvfBBx8U3odUzUjolJ1dUHZalAQ4Eq4UrWSSsEteW6kikgqZkpg2bZp6nqQ6STZ57HXq1FHhkPRG0vVBksdx6NChwnEKqUSS4Grnzp3/CYTkMUsPIqko0gV40gNJHpOEWVLBZW5e8E9bqny+/fZbFdAJqXiSiig5FuT5l/OhoaGqQkoX7knYKM+fVGrNmjVLhUQSkEmFl+jYsaO6X7mMPEYJhOQ5l9dZF1Q6OzurxuVF550TERERUdWVejkKEWt3I+jBAepnC3tb1TNIJz4lE5NWn8S0dWGq/49oX8cD7w9sgM4hVbMq3MzaErVH91ObjpOtJZLX7UT64TDUHd4DdZoUfDbKzcpGdlIqrN2LT3MrSt7bSh+kolVJcpqSma3CMQmK5DQzJ/f6+excZOVeP3/9cv89X/yyecjKzVWn8rOuCktHGinn5EovJlSyiJvudbWzLJzGVcvJEjWqOauffU2ycWrgenhb5uKlx1ve9vmlysdAyIjoQgGpSCkJWUVL6MIWHflZpm5JNY4uEJIAoGgfHgky5D9MqUaSsEhHfpbpSRIi6MKPG8mUNgkaLl++rKYzbdu2TV3+l19+UZUtP//8s6o4kvFJ8CFVREXdc889KqyQ30vVlkypkhCmKOntI9vNTJ48WZ1KdYxMMZOpclJJI24V8N2MPB9SoSPBmoQ+8nxJlZQEPxKWSfWMTN2SxyZVQ/Lc6Mi4ZZrezezYsUOFLPLc3/jcyjS306dPq5BHSHWV7nXXjUlIeCTVPlLxJUFX0dBGwh5d0CT3JbclIZzuvmRsEgrJfQmpCpJwSoKoXr16qXFJ+Kc7NoiIiIio6i8pv6r3c8hKTIGdjwd8e15vk5CYloWpa0/hizWnCnv4NK/pig8GNUTPetX08su/9j+8gUvLtsK/b7vCfVc37sPWxz5AjcGd0XrqhJteTx6rg7WF2vxvPiuuwshnq9sGTio4Kn7+luGTCpuuB1QFvyt6/mbXyUVedhZC/Nz+ndJVfMUuRxsLxOw5hoPv/wiHQD+0nnK9+MFv/mdwqV8bphaMH6oaviJ3SYKKWynas0ZItcat3Pgf5+0qfm68rFQIlYZUpNjZ2ameMLci072kakYuK1OMhIeHR7HLSAgj1SXS60ZHbrcoqSq5WZikI9Ow7kQqmaSSSKZASQXKunXrVL8iqSCSqWgyPhlH0cCj6HhlfLpx3M1S9VLZ8u6776pTCU1q164NHx8f9bub9Ta6E7m+bDItTJ5bGbtUU0llkxxPMkYJ1G48fm5FLi/jkCloNyMVTrpA6Mbpbbr7kAosef7kdm733Mh9SSBWr95/GwjqgiUJ56R/0K+//qpCOznv7u6upsXdqV8UEREREWnP2s0JAff1UM1+nf5dQUyqgL5aF4bPV51AfGrBl6IN/Zzx/qAGGNDIVy+DIB1bb3cEP3q9zYKIO3gK+Xl5sHQu6KOpc2n5Vni1bQRLZwdoSZ5vNZ1LTa0q2UrF5UmKCqRVh8yWuPHzl46puTniDpxC4umLyPnwGZjbWqv9bk20W8Gabo+B0F3SNVLW8rKl6R+kI5UbUqkiU8dudp9SufLpp5+qqWK6KU0xMTGF04WEhBq6KUe3omtILP1mbgyLhC5gudGqVavw9ttvqylK0ii5aJDRs2dPVWEjYxQyPhmH/OdU9D8lCUSEjE83Dqn2KUquJ9UxEmYUJdP2pCG19A6SKWXSz0fuWyqVZGwlJY9bKqGksqhoKCOVQMOHD1e3J5VDuoooXchT9A+rjE/23RjGyOWlcbNUH92Mrt/SnUgDabm/G58bOTakwkt6IMl9STNrmfp2u2NRpqzppq3JdWVsMkVPbqNhw4YlGg8RERERVZ7kc5Fq+o6Fg636ueFrBb06s01MMXXNSXy8/Dii/+2RE1LNUa0aNqyZf5VqZlyeGr4yFrWG94SJ+fXPFUlnLmPbEx/BzMYKgw/+WRhwEJBw8jxOzpgP5+CaCHlyqNrn1iQYLT59XlWY8bnSD2zVbWSkSkXCB2kgfCMJfmQ6llSzSAghQYCQYKQo+VlCGGlWfCu6vjcSvMi0Jd0m4YNM59JV7txIeuzI7yRQuRlpvCz9l4SMT6YxrVy5sthldFOZZHwS6EgwpJvypSONsqXnzY09hGSKmNy/9B+S50FXUSNTvsTNVg27GbmuPHbpwXMjee6kP5DucchzJePQ3YeQIEim5Um/pRvJ45ZKLrlM0ec2LCxMTUcrOo3sdiSok0qiG58bGYc8NxKsyX1JPygJ54relzx/EhpKECcB4tChQ9V4JPzq0qWLalwtbleNRkRERFR0OfIlByPw996LqukvVazLq3ZgVZ/nsOfVaYUV8Lmmpvh+23nUnrgEL/11QIVBtTzsMfOR1jj6Xh/c16K6wYZBOvY1vGHn61n4c0ZsgqqY8mzdoFjAcXLGApz/ZwOyU2Xde+OUcPwszs9bh1M/LkRezvWWJIEje7NPkB5hhZCRkRI/WS1LAqEzZ86o6VgSmEjfGVlVSqpDdGGRhBqDBw9W05qk8kN6xcjqYtKAuFWrVqoi5FakwkZ6+cjKVLJilTTclmBBes3IVLCiy54XJQGOhBEShEiYIMvDy3Sq1NRUFfRITxuZliSkj42M44033lBT0GSVMekb9MMPP6hxy/iF9MiRKVoyNUr67Mg45DHJSlm6KigdCT6kcmb69OlqapxsUhkk4YeQ56EkpLm19NSRaWHSiFp668gKY7ICl/QGklPd8yyrqkmlkkyHk6XtZTl6CVzk9dGtlFaU9OaR10JW9ZJNGmcfPnxYPSZ5TeR+7qZJuqwyJs2/5ViQRtIyZunvJIGVrOomY5FTCRPlWFm+fLmq0pLAStcAW14TGb+85hJuyQp08rrJ74iIiIhu5UJcqlq2/KetZ3A1sWAJcGsLM/Rv6IMRLWugbwNv2FjyI0t5s/ZwQW5mFtKj45GZnIY/D0fhvaVH1RLhwt/VFm/1r4+xbQOMerlvz1b10WfNt8hJu748vZw/MnkWctMz0XPZl3BtWEftv7r1IJLCL8G9WShcGxR8DpHA6MzsFWqVtqJT1K5s2o9rR8Ph0aIePFoWzAbISc9UFTei7nPDYfrvDIgrG/ep3jwezevCu0vBl+4SwBz5fKYK8+q/NArmNgUzP65s2Ktu26NFXfj3a194f/vemo783FxVBWXpZF94uzIdTsYrlVE6eyd+g5z0DDSe+LA6TnTjPTtnFXIb15QPlGqff78OiN1zXE01NC1SVUX6hf+7GiEJAOrWrauWY5feRdJLxtvbWwUT0vdFzuvIMuUyBWn+/PkqaJEVxqR6RoKIO/W8kaXOJdjRBSASyEizYgk9bjXvVEg4IZUrf//9t7p/6QUkwY1U0kgwI8GP0K1YJkGI9K+R6iMJm+T6shqZjgQ/MsVKAi9pSi2NlR977DG13UimSMmqXLL0ugRnuioaaQAtl9+7d2+x5s+3I0uvS4WNBFkSWklVj4Q1EhbJcyPBj5DnQp5b6Tkl1VMSOkmgJtVaN5tuJc+79OmRy8rjl6bZ0vRZHrMsR383pJpHwi8J+eS6Mj4J4XSr5cntyusnjbald5UEhhLmyesybNiwwoBKxi7jffbZZ9XrItVZMm1MQiEiIiKionLz8rDiyBVM3xSO5UcioWvR6OVoDScbC4RFJWPevktqs7cyx6AmfhjRsjp61K2mltOm0snPvl5F7t40BJ3nfIR1ubZo+OkGnI4q6A1azckar/erh8c6BHIZ8CKKVgflZWUj+LHBiD8YBpd/gx9xfv46VTHTaOJD1wOhpFTVZFmmoRUNhCJW7UD4rGWo99LIwkAoLzMLRyf/rs6HPn2vfEhQ56O2HlRBUcgTQwsDIel1dOLbv9X5us/cB/wbCMXuP4mwnxaqMRYNhOS+8nNyUffZ4YWBUMKJszj75yrkZecWC4QuLNyA7OQ01Ht+RGEglHIuApeWboH1mYvAo/epfWZWFmj+8bPl/lxT5TLJL02XXD0mH8qlykU+5EtIcDMypUem30iFxO2CC6p4cnjKayavlT43riP9O4b4/wDdTRNFotvhMURlZSjHUGRCGn7achY/bDmDS/Fphfu7h3rhiU61MbCxH8zNTHDoUgLm7L6AOXsuqgoiHRdbSwxt5q/Coc7BnjAr4YIcxk7eC52ZswoHJ81E76Vfwq6aO/7ZfxlvLTqCY5EFi8i421vhtT6heKpzHdhasWagNE7/ugTRu46gxqAu8OvVRu3LSkhW1TkmZqbFVt06v2A9orYdUr12dJeVqpwD7/4AmADN3n+6sOrm8srt6rJe7RrBr3dbtS8vNxeHPvxZnW/w8miY2xQEVle3HEDUtoOqibPudsXRKbORn5ePkMeHFPaMit13QoVNzqEBxVaVO/VvoFRrRG9YuRQ00r52/KyqgIrKSEb7p0epWRSk35mHDgOhm+AHwaqDgRCVFQMhKitD+SBG2uExRMZ8DOXl5WPtiauYsSkciw5GIDev4KOHm70lHmpXC493rI06Xg6F02CKTj2Rv+E7z8apcGju3ouFU8p01UT3Na+uwqHWtdwNvrdNWeRmZWN1vxeQePI8zO/rg4+c6uDAxWvqd862FpjQMxTPdw9SS6kTGeL/Q8Ym7S4CIUZ7RERERERUrmKSM/DL1rOYsfkMzsakFO7vUMcDT3aujSFN/VWvIHHmz5U4+d08BI7sU7hakciMS0SbQHe1fTG8CTaHxahwSKaSRSVl4Kv1YWqr7mqL4S0kHKqBJtVd+CXiDUwtzJE//lGs+24xfkpwQ37iNTUV76UewRjXMwTOtqVfwZiI9BsDISIiIiIiKjOp6JHQZvqm05i/7zKycwtWZ5W+QGPaBKhpYbVtgMgNe2He0Bv4NxDKzcxWS6BHbtxbGAilR8VjcasxcJNeN7M/VE1zu4R4qe3rkc1V1ZGEQ/8cuIyL8Wn4fNVJtUm10Yh/w6G6PsUXDzGm1yH8t6WwcLLHpXr18ObCI9gUFg14BMPGwgzPdQvCy71C4e5Q0HeGiIwXAyEiIiIiIiq1a6lZmLnjHKZvDMfJq0mF+1sGuOHJTrVV9Y70pZGgYknbh5B2ORpWro7w6dJCXc6/d1vYeLqgWsemhdeVVZWk50l+bl7hCkq6prmOtf3Rp4GP2mZk52LFkUjM2X0RSw5HqObI7y89prYGvk4qGJL7D/QsmJZmDC4t2Yx9b36HbAsLvNRmAOJs7GBpboohoY6YNLoDfF0LmgoTETEQIiIiIiKiuyLhzq6zcWqlsL/2XERGdq7ab2dljgda18Qj9Vxh+s9qpPywDbbt31W/k6lcPp2bq1AnP6egekjYVHODf9/rKyKJ6v07qOWwZdqYTl52DrY89I5ayrvHwi/gUj9QTTsb3NRfbSkZ2VhyKEI1o5ZVzI5EJOLIP4fx+j+H0aKmqwqHpO+Qn+vte2ros4MXr+Htc/mo6+aNgx6+SLSzwxMdauO13iGIuxiGak42Wg+RiKoQBkJERERERFQiyRnZmL3zvAqCZDUwnbZuFhjb1Acj7mkBRxsLZF5LxkJZ6jo3DymXomDv76Uu1/T9p4o1jr4dW293temkXYmFlZuTJEtwCqlZuP/Kpv3Iz8tFtfZNcH+rmmqTqqWFBy5jzp4LWHciCnvOx6tt/NwDqo+RhEPDmvnD0/H6cuL6SpYg3zl7Daak2OLvfZfVvqXNu2NM2wCcGlAftTzsVUPguItaj5SIqhoGQkREREREdFsHLsarKWGzd11AamaO2ifVOdKv5/7484j/8mf4J3WA4/CCZbFlueqGrz0Ix0B/WLs7F95OScOgm7GvXg191k1HRsy1YrdzZNJMxB8MQ7MPnkadsf3VPhc7SzzUvpbaopMyVCNq6Tm05XRM4fbcH/vQLdRLrVQmTa71sbny6atJWDrmHXifOIm04GYwCairpsi9c08DBFdz1Hp4RFTFMRAiIiIiIqL/kODnrz0XVBAk1TWiUUwEeiRfRc3R/TDyvnYqeIk74Iw1X85EVuL11cRE6JPDyn1MMu3MxtO18GdZqt6tcTDSImPh37dd4f6oHYdxZd0e1BzaFZ6hAXi6Sx21XY5PU0vYSzgkj2nN8atqe3LWXvRp4K0CrgGNfGFfxZdgvxiXqvok/bLtLDqbOGGMqRmCa3ni47f6oIHf9QCOiOh2GAgREREREVGhYxGJmLEpXDWKzktMRrKlNSzMTNUUq/s2HEfG/uOon9BEhUHCtVEQBu77vVhQU1mkUqjZ+0+h6btPwMTUtHD/2TmrcGHBBuRmZqnf60j/IFlqXbYz0cmq/5GEQ9JvaPHBCLXZWJphQENfVTkkjaulEqqqiExIw0dLjuKPDSdwzbTg+bfq0wlB74zAmDbBWg+PiPQMAyEiIiIiIiMnTaHn77ukegNtPR0Dm+wsvL17NXzTEnFlynsY272u6rdzyT8f0bV9iq0IJkGMFmFQUUXDIFFjYGfkZWWjxuAuhfuSz1/B9qc/Rs0hXRH86CC18tjEfvXUJiGYVEP9ufsCwqNTVBWRbA7W5hjcxE/1HOoeWg0W5sXvp7LItLdPVxzH7JWH8dj+TRiXm4NNo8fg3aGN0ba2hyZjIiL9x0CIiIiIiMhIyTLtP6w6hv2LtyIjLRPbfGrBzNQEfVrVQkCYFfLTgNGepoXNl/37tFNbVefTtYXairq4aCOuHQmHlYujCoR0ctIzUc/XCe/5NsS7AxvgwMVrqmpIViu7FJ+GmTvOq83VzlJVSUk41DHIA2Y3hFAVQZpjT1p1Al+uC1NT+NyzshGYmgAbE+CpXjXgxjCIiMqAgZCRGT16NHbv3l1sn4WFBdzd3dGlSxe8+OKLcHJyKvP9dO3aFS1btsQnn3xSodcpb6+99pp6ftavX3/byy1YsABz585FWFiYWrXBz88PPXv2xCOPPAJ7e3tNxnTj6yxmzZp1y8vk5OTg999/x6JFi3Du3Dk1J79mzZoYMGAAHnjgAVhalryxYnBwMJ599lk899xzJb4OERERaSM7Jw8L91/EjC1n1QpczaIvYcKBjYizc0Dvp+7Bwx0C4eNsi/gO3rDz81QBiiGoPbovrFwdYedXsOKZyEnPwOIWY+DWNARtpr0MS2cHNK3hqrZPhjbGzrOxmLO7oFooKikD328+o7ZqTtZqCXsJh1rXclPvo8pTUno2pq49hS9Wn0Rierba16yGKz4Y3AmN4pvBztcTjoF+5XqfRGR8GAgZobp16+Ltt98u/Dk7OxvHjh3DF198gRMnTuDPP/8s8x+1r7/+utyDkapCHtv06dPx8MMP46mnnlKB2tGjR/Hjjz9iy5Yt6vmTfeXl6aefxpgxY1De3nzzTaxevRqPP/446tevj7y8POzduxdTp07Fvn378M0335T4tv766y9Uq1at3MdIRERE5ed8bArmfzQb5is3Yal/MNb5B8kK7vDt2ASm106jTfcWaNQjGGbW//YGalAbhsTK1Qm1R/crti965xHVDDsp/BIsnK6/d006exl2Pp5qOpZsXwxvgk1h0Sockql1VxMzMG1dmNpquNmpZtQSDjXydy7T+2ipAvpmfRg+XXkC8alZcEtPxcendyP41YcwaEjrf2/bp0zPAxGRDgMhIyRBTePGjYvta9GiBVJTUzFt2jQcOnToP78vTehkiLKysvDDDz+oSqCXXnqpcH/btm1Rq1YtPPPMM1i7di369OlTbvdZvXp1lLfIyEj8888/eO+993DfffcV7u/QoQNcXV3x0Ucf4fDhw2jYsGGJbq+sxwsREZUfCfh3nIqCg701Gvq7aD0c0lDmtWREbtqLI/6BmLH1HFYcjcQ9Zy5gRHICWl+7gtZPDcajHQJVoIEJPWCMfLq0QN+N3yMtMqYwyMnPz8fWR95HenQ8Ov76Djxa1IO5mSm6hVZT2zejmqmVySQcWnjgMi7EpaoAR7bgag4Y0aKGWvo91Mfprno4SSPvj5YdQ3Ryptont/XOuVPAlcuw++UvYEjrCnseiMg4adMVjaokqRLRhQU6Em4MGTIEDRo0QLt27fDBBx8gLS2t8PdfffUVevTooapmZLpX+/btkZiYqKZ/yVQncfnyZTWlaNmyZXjyySfRqFEjdO7cWVWgyJvWoqRa6bPPPlP3JSGDVOFcvHix2GWkikWmNMntyH2++uqriI8vWApVN51LAqm///5b3Y5cJjw8XE3t+v7779G/f38VdMjtjxgxAjt37izxc5SSkoKMjIz/jFt06tRJhUT+/v6F+5KTk/Hxxx+je/fu6jmU+543b16x68mbjl9//VWFSDIueT5/+ukntV/I8yjPp47c/+TJk9UUNXnNmjZtioceekhVd5VUbGysuv2bPQ6ZMjZu3Dg4Ol4vD4+OjlbPc5s2bdCkSRP1/B84cKDw9/L6yrGgk5CQgLfeeksFZfK4JXTasWNHsfuR68yePRuvv/66eo3kdl944QU1tqIWLlyIwYMHFx438tglmNORaXtPPPGEeh5kk1Du0qVLxW7jjz/+UM+vjEVCr3feeUe9lkREhiQnNw9//bEZk1s/ge8f/RyN31uJV+cdRGZ2rtZDIw1cjkvB3+0fwa7nPscrHy3A8iORkLcWph1awmzCY3ht5Wd4f1DDgjDIyMnUq2odmhT+nBmbgOzUdLVCmXNIQOH++MOnEbv3uFpxrV9DX8x6tA2ipwzGvKfaq95CshrZqavJeHfJUdR9azkav7sCnyw/jnMxt37PkZWTi+kbT6P2xCV4cc5+FQYFuNvht4db4+i7fTH463Hw690Wbb95tdynpRERsULoLuWkZahTMxurwv+Uc7OykZ+TCxMzM5hZWfz3staWhSsf5GXnqE1+1pXj3vVl0zNgblPQ2K88SR8ZoQs0lixZggkTJqiAQHoLRUREYMqUKSpc+eWXXwofvwRImzZtUr+TIOBWPYjkQ7iEJhIcyJQkCZEkXHr55ZcLL7N8+XIVKkkfIQkGJEz53//+p6pZxJ49e1T40bp1azW1ScKnL7/8Uk2pkqDF2rrgeZHw5+eff8aHH36Ia9euITAwUAVNMp1r/PjxKoyIiopSoZSEEBs3boSNjc0dnyOpnpFgQgIbCUkkvJEQQvbLNDEJvIoGNyNHjkRcXByef/55+Pr6qoBNAhB5bLrLyrh+++039bgkwDpy5AgmTZqkevxI0HGjV155RYViEtpI9dCFCxfUcyCPS0K3krxZCAkJgbe3t3p+T506pfpHyeOQ6jF5LEXvVyrH7r//fvWcymvl5eWlnlsJ6+R1kb5DRWVmZmLs2LHqMUpA5unpifnz5+PRRx9V0+okVNKRY0aeQ5muKCGOjMfMzEz9LCQwkiqme++9Vz1euYw8X/K6y345ZiXUk+qsTz/9VD1n3333nRqv9EZyc3PD0qVL1fMjz5s87rNnz6rLpqenq1MiIn2XlpmDX7efw+TVJ2Fz8jTeuBIBV3ML/FWnMT5beQIrD13G9z0D0KpDPa2HShUkNTIGp2bMR3pMAlKeHqsqTRYfisATdh6okWcOTwvgnl4heLxjbdT2ctB6uFWetYcL7tn5K5LCL8PCwbZw/7Ev/0TE6p1o8MpY1HtuuNpnY2mOoc381Zacka2WrZeG1KuOXcWhSwlq+9+CQ2hVy01NK7u3eXX4utiqAPf3nedVeHQ+NlXdlp+LLd5u6YmOmQkIalsQRJm7OKL9D29o9EwQkaFjIHSX5gUPUaeDDv4Ja7eC4OPk9Pk48vlM1Lq/F1p+9kLhZf9pfD9y0zPRf/svsPcvaF53+relOPDu96gxqDPafPVK4WWXtHkQmfFJ6LP2OzgF11D7zv29FntenQbfnq3R4ae3Ci+7vOuTuGfHr6V+DFIZIh+cdeTDtTQtlg/SUqUhVSdyGQklpJpCTnXkw/+DDz6oAiCp1hByW1I90rx589veb7169Qpvq2PHjioMkiBE+vDo+g1J2PDtt98W9uCRsEPGJdUcDg4OqjokICAAM2bMUMGBkICmX79+KnQYNWpU4f1J4KIbo5AARwIKXcNlYWVlpRohSyhS0mlPMq1OwgWpXJFNApg6deqoYEOCEF0gJpVKUr0yZ84c9bwKeT7l+ZLHKEGGqakpZs6cqSpudMGYVNXExMSo8OvGQEgqYySgeeONN9C3b1+1T6pr5PnRhWgeHndebUIaRku1lDwOqZ6RTcYir5FU0sjzqAvXJPSRMFBOQ0ND1T4JjwYNGqTGeGMgJEHMyZMnVdNteW10r7c87/L6y+ukExQUpEIgHZmmtnLlSnVeqpcksJPqKqlM05EgR4IvqSaTUFGCPKmw0h1DEjjJdSR8kuNSxihhnDwmOWbk+bK1tVXHPRGRPotNzsTPM1Zg+Z7z2ORQ8D7DrXp1RPn3w5DnBuKvFOCxmbvhv2MXTv82HXuH9cMTnz+hpr6QfsuITUBuRmZhc2TpNRP282JI3e9TyZ5Isir4kuv44HvQrmsw1jT1h5VFwfsmKhn5QtYp6Pq0fXlvbOXmBHM7G/j2aFW4P/HUBVxeuR3VB3aGQ01vjGpdU23xKZn458BlFQ6tPxmNXWfj1DZu7gF0rOOJK4npCItKVrchDaon9q2HB+o4YV2vp7E/NQNOAd7wascp+URUsRgIGSH5gCwf/IuSMECCCKm6kIDjzJkzuHr1qgokioZH0mtIPnhv27atWNiiCwpuRwKEonr16qXCEJl6JEGJkClTRRsyy+pdIikpCebm5qq/kfTvKRpqSUWTVADJmIoGQjeOScIkIdPLpEpEwqYNGzaofUWnIN2JNE+WcUul1ObNm7Fr1y71nEp4ISGIrNwlIYmEbBJE6MIgnXvuuUdVM8ljkedaHodM/ypKAp9bBTlSnSSkwkkqZM6fP1+qxyFhjARaUpG0detW9TjktZCfZXxSnSPVQlLNJa9D0edTQphVq1bd9HZlapiEUnKMFT12pApJV92jC81uDOHkuZXAR8hjk+oqCdqKktdfNiHT/STgkfBKd19yfEo4uX37dvVzq1atVNProUOHqqBIqtSk6o1l10Skr2T6yRdrTuLwX+vw1P5NGGpth4hBI/Fin3p4qF0t2FoVvL2Tel9Z/ejX+7bDPD8P84/HYPZn69RUlDqsEtFbJ79fgIMf/ISA+7oj/dGRmL4pHAv2X8Y9gQ1xwcFFVbQ836EOnuhUG3XvoocN3Z68b5Avfpu++yTMbawK95+bt1Z9OZxw4hzaTZ9YuN/V3gqPdAhU29XEdMzbd0mFQ9vCY1VzauFmb4nX+tTF053rFP67rd6/A5LORMChFlcQI6KKx0DoLg07taBwyphOyJNDEfzoIDVlrKjBB/8suGyR6V51xvZH4MjehdPCdAb8W/FT9LIB93ZXlUQ3Xrbv+ullegzyQf3dd98t/OMmVTIyfajoqmAy9UvI5XSXLUqqbYqys7vz/HOp/ilKwgZRtFJDKjeK0n1ol2oRCYXkVJo6y3YjeRxF3XhbEnTIY5FTCTRq164NH5+CVRp0/XruhlxfNpk6JdUqUhEkgZpMd5IqInlcN6vWcXd3V6fyeHT3q3suSkJWMpOmzxJqyfMu06B0j7U0j0P66sgmlVoSxsh0MBm/PMdSYSPHgky9Kim5vFQ43Rg66sjvdIHQjdP0JJjUPQbdMXi7+5bLyDRD2W6ke06lkkqm70llklRmyZRFCepkOqSuyoqISB/svxCPL5Ycwp+HopCXnw8LVx/cb+8Ij/ZNcHhid9i4/Dfk8XKywcsrPsPs71di39FUJJ2JVX1NJvcOwuP9G6r/d6lqk1WwnBsEFv5sFuAvf/CxeuspvJWwvnD/5Z5d8Uyn2mopdF24QOWvaBgk3JuGolrHpuo9u05WQjK2Pf2JCndqjeiJak42eLZrkNouxqViwf5LqlJvbNsA5EdEwTJPvtQqeM2avf80TMzNYGrOii4iqnj8a3GXzG3/27vHzNICkK0ElzW1MFdbmS5bxv5BEiJIAHA7uobCMqVIKjBudKs+QbcjvXyKkuoPUdKwQcYtAZFMWZMpYje6XQ8gmVIlPWx0za2l54y8CZapb7eqdLkZmeImU9ikIqfo/UlV0/Dhw9XtSeWQ7jmSKqSbBSLCxcWlsKpFqpZkTDrSl0maaTdr1qzYdWWfNE2WSheZNifVUfKcSDWPBEUlJb1z5DHopmfpyGOS25fl6HWPQ6bqSWPwG+3fv189RqnOKkouLxVSRacaFqWr+roT3TFYtGG47jg6fvy4qryS+5LKNum/dCOpKNPp3bu3ao4ux4FUQ0nYJVP05Pm9MagkIqpKJCSX1Yy+n70FdZeugL+pKfKad0evetXwSu9QdKw1HOZW179Muhn5ezf6yb7oFJeKh37ZhU3HryD+f5Mw5TNHDP5pImoFsxKhqjrw/o849f0ChD4/Aofr1sKXv+zCgj0XYdlpKK5Z28LeylxNT3qiUyCaVC/5l0tUfvz6tFVbUZdWbEPUlgPIiLmmvgjWyc/LQ3U3O7zYI0T9fHHxJuyaMBU1h3RFi0+e+8+Xw0REFY1fC9FNSTghQY0EAboKEtnkw7NMvZIP5HdLGioXJUGMBBC6PjN3IhVMsnqYVMYUHZP075GqD5nydCtyHakmkebTUtWj+0ZUpnyJm622dTNyXQkkZs2a9Z/fSdNlaXosU7F00+uk907R1bjE4sWLVYAk0+N0U+R0U750pEpHmijr+iTpHD16VDVtfvzxx1VDaV0FlS4MKmmFkPRhkilZN6uskR5FUgGmexwy/Uoe1+nTpwsvI2OQ3ks3rpgmJEC8cuWKOn6Kvk4ypU/6+tz4mG53DEpoduNzIz2K5PFLVZZuBTmZzqa7H+mBJT2F1qxZoy4vfaOk4baQAEl6JD399NMqjLux0o2IqKrIzsnDH7vOo8l7K9FrykZsPp+AoIRo1E+Ixu7Hm2HlS13QNbTaHcOgouSD6JpxXfBVKw/4pSTCKSISXSetV/dTmgpTqnhuTYKlXBqzNpzCw/9cwqydF5Cam4/qdXwwfXQLRE4epE4ZBlUt1To1Q6P/PYSQxwt6j+rCoBXdnsL2Zz5Vy9kLSxdH5GZkIeXiFeRmZms4YiIyVqwQopuSD+3yQVqWDpfz0v9FpjjJlBvpXXOr6UC3s2LFChUSSA8X6a8jVS1yHzdO7bodCUkkDJAP+NKLR7eamPTjkQ/5twtAJFCaPn26qhyRTQIpXaCh61tzJ7IKmCwdL9PCpBG19EGSqUnSb0maR8uprH4mpCJFmjVLxY2sMiaVMevXr1dTl5599tnCChgJqSTAkP5AEnDIY5HV0KQ668ZSfnneZeyff/65mqomPYNkqpqskiakUXdJSD8nWUVO7kOCNHlNZDzSj0j6I0lPHrl93eOQAEymlMnjkJBGLiOBjKyidiO5vPRRkqodaewt0xGln49U5Ujz7KI9om5HjjsJnWQanhw3Xbt2VSGWTGeTXlFSnSSvuTTnll5XsrKYTBuUfkESPsrldD2EZIU7qYqSxynHsTSjliommW5HRFSVpGRk46etZ7Ho9/UwuRKNQ/5BsLMyx8juzRDSpzrqdm8OW++CqcelYWpqgqee6ImDDf3x4a9bcCHXAqN+2IGFBy7jm/saw8P1+vRxqnzxh8KQl5sH96YhamrRK5dNsKXtAETaO8HK3AT3t6yBJzvXQcsAN/bCq8LsfDwQ+vS9xfbFHTiFpPBLSI+KQ6vJL6l9stR9178+gXvLujAt4RdmRETliYEQ3ZIs9S3TtKSqQz5kS3Ajq0vJVCDd0vR3Q5Z3lyBIbktCAgmb5EP83ZAl6aWpsnygl3BCwgUJSX755ZfbrhImlSESZklTYxmHPC6pKpHg4rHHHlPLuEvgUBISxkhwI5U+0vxZQhgJhSQskhWzdM+NVD9JkCIVVbLsuUxXkqqXDz/8EMOGDSu8PZm6JIGHBEryXEtw9Oabb6qg40Y1atRQtyePXwIaCUXkccv9yCpe8jhkWtyd6JpTS7Aj08ZkGp302ZEl4uV5kNvWTeWTIE2eJ3nu3n//fVVNJfcp173ZcSDHiYR9Mk55rpKTk1XPHgnxdCFTSUnwI7cnY5XjRppOy+slm5BAR+5Llq+XcEu+4ZbKJmnw3a1bN3UZeR7lNZLgTII2CbtkJTJ53ksaThERVbTopAx8tT4M36w/DffICLy3ayWyzMzQY0xPPD6wqWpQW54atwnFny2D0XD5cby39Cj2rjuIeVO+hM/LD2Pgo33K9b6oZC4u2ayqR+wCfLDvuafx6brTyMjOhYmDEx5rXwv31gK6tm1e4kpbqlrcmoagx5KpSDkfWWxamGeb27dxICKqSCb5RlYjLB8MT5w4ocKAW1WmSNWJLBcuHyz5R7fsZNqZfDiXsESqR+6GHJ7ymslrxW/CqDRKewzx/wEqeiwcPHhQBaE8Fqi8j6HwqGRMXn0S8zaeQKxJQUhd28MOb+9di9rNg9B4/AOwdneu0PHtOx+PxQ+8jdALZ7DTqwbSnn8Ik+9rAgdrhuaVKTMhGQs6PIb9Tp74NrAZ0iws0SnIE1NHNEUDX0f+P0Rlwr9lVFY8hvRHSTIPHVYIEREREVWy3Wfj8NmqE9i87QSeOLwdb2SkYs4DD+HlfvUxsIkvTNH/P6uMVpRmNV0RsuJTzHj+a/yS54GkzWew9vhV/PpQK3QMZuP9iiLThyLX71F9Zvaci8OLc/bjcJPeSLG0Qk13O0y6twmGNPVTX2bIBzEiIqLyxkCIiIiIqJIqFpcfjsRnK09gU1hBU3srcyvUykyGTXYmFvetAY9mdz8luzzYOdhi3C+voNmpaIz9eSfOxaZi+mOTsL+GCx777iXY2d96JU+6e+lX47Cy97PIy8zGjIhsTI0oWNzCzsEOH/ati3E9Q2BtwW/giYioYjEQogonPXGkATMREZExysrJxdJTSXhw0WrkHg1Dg7hIWIQ0w8hWNTChVwjczzaAQ6CfakSrtU7Bnjj8Th+8/u0atFl1DKbngPtfcMW7b9/HlazKkYmbMxJbNMXZ05H4PTwJsLHHmDY18fHQRvBxLvliG0RERGXBQIiIiIioAiSlZ+OHzeGYsuYUIhLS4ZqRiml718AsPx/vvDcKoZ0aFVzQtwmqEkcbC3w1vi/+cQCW/bUZS0ycsOLD1XhnQAO82icU5maVM5XNkKRejsKRybPR+K1HseJcIib8fRAXbAKR26gOWgW6Y+mIpmhVq/SrxxEREZUGAyEiIiKicnQlIR3T1p3CdxvDYR6fgDgbO7jZmmH84NaoUS0F1pYWqBHki6pu8ON90f7+rrg2aw8W7L+M9+ftQ87kHzD4kyfRsFWI1sPTq6mC2576GPEHw7D8VAze92mo9vu42uPToY0wslVNmJpy4QwiIqp8DIRuQrcSkZEtwEZEN8HV7YiopE5eScKkVScwa+d5WKSn46WDm1AnKQ5Z095FPa8ctGwWCtO+9fTq/xUPB2vMe6o9Zu88j03/+xbBZ8Kw9sF3seWrt/FU12AGGSUQl5KF9S3awfJCIn5xrA4rc1O83DsUr/YOhT1XciMiIg0xELoJU1NTtZReRkYG7O3ttR4OEWm0XKO5ublefXAjIm1sD49RjaIXHYwo3NcixAcNLloDyUAn0xTEmhX0hdHH/1NkzA+0CUDrb5/Fosc+wS+edXBszgEsOnwFPz/YCn6u7HlTVEZsAg5++BM8OzbFEgcfvLP4CBLScoAWPXBvi+r4bFhj1HTn+0siItIeA6Fb8PDwQEREBHx9fWFtba2Xb+AMgVRp5eXlqeVW+RpQZRxDOTk5SE5ORlxcnPp/gMcdEd1MXl4+lh6OUEHQtvBYhMRH4cmIcEQ9cC8m9KmLtrU9cG1gbVg62cO6mhtiDx6EvqtdtwZe3PwNrDeF4+V5B7Hm+FUMffpHvNCsGkaMH6a+UCPg7F+rcX7eOhxethMT2g9EjqkZGvs7Y+qIZqppNxERUVXBQOgWXFxc1GlkZKT6IEnafZjPzs6GhYUFP5hTpRxD8oHGysoK/v7+sLXlt95EVFxmdi5+33kek1adxMmrSWqfvUke/ndsCyzT0tHKJwcBtQtWC3OpW0udGtL7CDMzUzzTNQg96lbDY99txH2z58N0WxpeCY/Ga5Meg7uDFYxRXm4uTM3McOpqEl7NcEOgV3UsrVkXLk62+HBwQzzcvhbMGJgREVEVw0DoDqGQbFJdwH5C2pA30UeOHEFoaKiaxkdUkceQBEa6jYioqIS0LMzYFI4v14bhSmI6/FIS4OThgac618bz3YKRONcGKeci4dm6AYxBUDVHrJnYBz/Ensfl9TvxdaYjfn97OX4Y0xIDGlf9htnlJSspFUcmzULC+StY3vceTNtwGjm5+bBo1gXPdwvCm/3rwcnWUuthEhER3RQDoRJgCbT25IM8AyEqCx5DRFQal+PTMHXtKXy/ORzJGTkwzcvDO0c2IfjqZbRbOAX+zYLV5bwfHwJjY2llgWe+eR77z4xA7d/24lhkIu75ejPesE3Ei2/eDzcPJxi6tOh4hM1aBpOcXCxKc0OOswf6N/TB5PuaqNCMiMhQnD9/Xm2NGzfWeihUjhgIEREREd3gaESCmhY2e9d5VfEh6vk44ZXeoQj8IwIRy68i88QZ4N9AyJg1DfTE3jd74c2Fh7F55mrUO7gJc9ZsRL05n6NzI38YmuyUNFjY22LjySi8+NdReNZphit2jrAMDcTK4U3Rq7631kMkIipXMTExmDp1KrKyslC7dm00atRI6yFROWEgRERERPRvz7EtpwtWDFt2OFLtC74WhQdjwlH/o+fRr10dNaU0tcaDaPzaWNj5eWk95CrD2sIMn9/bBGtMU3H69f3Y6uGP577einE9QvDB4Ibq9/ouLzsHR6f+gVO/LsHi0Q/i9/CCHlLOIfXx7j0N8FTnOrAwZ1U5ERkWaZ8yc+ZMFQaJv//+G3Xr1lX9OUn/MRAiIiIio5abl4eFByLw+aoT2HU2Tu2TVmJDm/jh/r83I+vcBVTftgMm7YPU7+x8uVLUrfQY2h7NOzXAocXHkL/9AiavPolNe8/gy+4BaNuzGfRZak4e9izbCbukVCSv3gbTwIZ4snNtFQYZazNtIjKOL0vq1KmDS5cuFVYLrVu3Dr1799Z6aFQOGAgRERGRUUrPysHMHbJi2AmER6eofaHJcejUtwXG9a6LOl4OiKhjicj1uxE4im98S8rF3QkzHm6Le5rXwCO/7EKHdatwds5l7Bk5BM98+BDMzfSniibtSiws3Zzxx95LeG3+IZhVawBvhxpw7NQcB0c0QwM/Z62HSERUoaQH5z333IOuXbtiyZIl2LhxI5YvX45WrVoVrsxN+ouBEBERERmV+JRMfLcxHNPWnUJ0cqba52JriY/P74bTgSNoM7IBang5qP2+PVqpje5ev4a+OPR6D8w6uhWIMcGUsxn445O1mPlIawTrQcPl8FnLsO+9H7GhaWvMcKiu9tUK8MPr9zXBPY19uSIlERk03UrbukVZbGxsVKXQhQsXVHPpY8eOoX379loPk8qIgRAREREZxbLxG05GYdWxq/h953mkZuao/dVdbTG+Zwgebl8L56dn4tiR40i5cEXr4RoML3cHjFs1CXMW7ELi5ghcOBeHJu+txKS23nhiRFuYmVfN3kIR19Lw8/bzaJiRCaew07BvE4A3B9THC92DYWUA/ZCIiO5ky5Ytahs7diz8/QsWCJAgfNSoUcjNzUXNmjW1HiKVAwZCREREZHAysnOx40ws1h6/irUnorD3fDzy8gtWCxN9LdLwwMVj6PHCM3BvEKj2BT8yCAHDurFZdDkzNTXFyGFt0LFrGh7+dRf27T8Dyzf/wNRvZ2Pw7++gVq1qqAoy4hKRHJuIGaeT8PHy40jPckHzJp1Qf2BHnB7WGNWcbLQeIhFRpYiNjcX8+fORmZmJsLCwwkBI+Pj4FFYNkf5jIERERER6Ly8vHwcvXSsMgLaGxyA9K7fw9yb5eQjxckC3ej4Y1MQPNl//ikuHT+LUt3/B/buJ6jIWDrZqo4rh52qLVS91xo9TEmCxJRfpSaloPnkzvnygBR5oXVPTKVhXtx7Exsc+xCVLW7zVvCfyTUzRtrYHvnyzF5rXdNNsXERElU2mic2aNUuFQbLEfJcuXW552aioKERHR6NBgwaVOkYqPwyEiIiISC+djUn5NwC6ivUnoxCXnAmH7EzYZ2ci3c4J1Zys0T20GnovXgDzY2Ho/Pv78GrTUF038YX7VfhT99nhWj8MoyKhz2PjBuNIh3qY8/cBXIvPxZifduKffZfw9cBQ+Ph7VPqYDl68htfWXMB9GVnINbFEqI0J3hzTFsNbVGefICIyOjJN7OTJk2pZ+TFjxqgqz5s5c+YMJk+eDCsrK7z//vuwt7ev9LFS2TEQIiIiIr0Qk5yB9SeiVAXQ4Z3HYXrpCsKd3BFrU/AmtFVSFF7cuQbZ/j5o+vdk1PVxVB/oN21ZiStZ2Ug+c7kwEHIKroGWnz6v8SMyXg1aBGFJ09r4fNUJvL3oKJKWbMCyqVPh9sojGPJ4vwq//+zkNISt24svk6zx45YzkNmE59r2xv1D22BPv/qwteJbZCIyPnFxcZg3b546P2jQIHh53XoKtfQQ8vb2xuXLl7Fo0SLVW4j0D//aERER3cauc3HYfT4Fzn6pqOXpwIqBSiSNnzftPo1jf63Ducvx+M69TuHvXtu7BY3irmBD1x7wHdgG3UO9EIpMrOq6Fm7WZoVhkGjy1mNo9v5TsPWt/OoTujVZfv5/feuhd91qWDdkJRwyM/Dj3J1YauGGqSOawdHGokLuNzkqHou7Pw0kJmNVm37Id3DBiJbV8enQe1Ddza5C7pOISJ+migUGBqpl5m9H+ggNHz5cVQlJVVGHDh1QvXrBioykPxgIERER3cLRiAR0/Gw9cvPy8dKKSDhYm6O+rzPq+zqhQZFTdwcrrYeqt28+iwZsYbOW48TSbTjbsCEWWbhj+5lYuCddwxdbl8PDzBzfdauNhv4uKvxp4RwPu9Nn8PqwZqg+oH7B7eXlYdipBTC3Kf56OAb6Vfpjo5JrUtMNwZu/wzdv/opVyY7I23YO609G45fRzdClvm+5Hm/LDkdi3NwD6GfljOo2+WjkboPZL3ZH+zoMC4nIuKWnpyMrK+uOU8WKCgoKQosWLbBnzx7MmTMHL7/8Mr840zMMhIiIiG5h8qqTKgxytDJFeg6QnJGjVq6SrSgvR2s08HVSYVEDPyfU93FGPV8n2HHaiZKVlCpdn2Hp7KB+TrsSiy2PvIeM2ATU+Wca1p2MVn2AvOeuRedzJ7HzajY21WmiLmvt44mr9erCK6Q6Il/vD28Px4IbHd70P/djYmr6nzCI9IOtvTVenvIk2pyOwdifd+JcdBI2jHwDh+oH4tHpL8HesfSVO7kZWdjy5Vx8buKB5WHxat+iVp3w5tCmWNg5CKam/PBCRGRra4sJEybg0qVLqFat5Ks/Dh06FIcOHVI9hXbt2oXWrVtX6DipfPGdKhER0U1EJqRh9q4L6vy0fr4Y3r0VzsSk4UhEAo5GJBaeSmPjqKQMtUlvGx35gqyWu31BFZGfM+r7FJzW8XSAhfmdv3XTN3m5uUg+G4GU81fg26NV4f4D736PUz8uRL0XR6LB+AcQcS0N607Fw+JIOORjeJvXFiDJqmA571D36rji6Ar3FnXxXacGqiF0oKc9TEyGaPjIqDJJpc6ht3vjw4/moe7qKKRvj0OPtxbjqxd7lmq1r/iUTMwdMB7O4WfhGFAPlnWb46XuwZjYr16FTUkjItJXUhVUo0aNu7qOi4sL+vbti4ULF2LBggVo3LgxrK2tK2yMVL4YCBEREd3EV+vCkJ2bh/a13VHfywYWZqaq6ke2olIysnE8MkkFRIVh0eUERCdn4kxMitoWHYwovLyluSlCqjkWTjdTFUW+zqjuaqs3ZdaJpy4geucR2NfwhnfnZmpfXmY2VnR9Up0ffHgOrFz+reRxdVYn67aHYXjCMpy4kqR+btisG2Kt7ZBtY4PuwV7oFloN3et6oUl1F5iVoEydDJe9tQU+fu9+LKrhglkrj2JnCtD6ozV4s389TOxbr0SBak5uHr7ffAZvLjyMAIfqeNjqCtwa1cGxN/qitldBpRoREQE7duxQVUHSRNrS0rJUt9G9e3fs27cPzZo1U72FSH8wECIiIrpBckY2pm8KV+fH9wwG8mNu++G1ZS03tRUVnZShehAVVBNdryiSRsmHLyeoDSioQBK6/kSFU8/+PdWyP5H05Dny+Swknb2Mlp+/CMt/p+1ErN2Fw5/8ihqDuxQGQua21nAMqg5TS0ts3X8eG5OhloQ/ejoDud2GI93cEriSpCqnmtVwRfc+oehetxraBrrDxpJvR+i/Bj7SG+2Hd8Ezs/firz0X8cMfW2H3/pfoPm08GrcJvel18nJyseyT2fjhfBqWoCC89W5cH3XeGY6nm97dt95ERIbu2rVr+Ouvv1T/IE9PT3Tu3LlUtyN9hyZOnFiivkNUtfAdGBER0Q1+3noWCWnZCPJyQL8GPjh8+NaB0K14Olqjq2M1dA29Pg8/Ly8fF+JSi005k9OTV5Nu2Z+ompP0JyreyLquT/n2J5Lg58S3fyNizS64NQ5C03efLOzJc3buamREX0PoU/eq3wnXRkHw7dEabk2C1WOSxyDhz9oBI7A5LBppfx67fuNmFqjj5aAaQUsVUJdgT7jas88PlYybvRXmPNEOg5r44cST78MvJhKzn/8Smz5+Cc91Ld7/JzwqGT+O/w6NN21EVxsH7Oo5BG8PbYrHOwaqFc2IiKh4o/3Zs2erMEiWkO/YsWOZbq9oGJSbm6t+1pfKZ2PGQIiIiOiGqSZT1pxS58f3DCnXhrNyWwEe9mob0Pj66klZObkIi0pWU810FUVSXXQuNhVXEzNwNfEq1hy/+p/+RKo3kW7qma+TCl5K+8HX3N5WTQW7UcgTQ1UwZOPlWrgvI6Q2Tj04Ct+cuIp14/5BbEpmset4OlgVTgGT0xpcypvKaETLGjj7x9v469kp+KlaPVybsx+LDl7Grw+1hrOtJT5cdgxT156CqXk1vOvgjKyenXD8vXvg5ljQn4qIiIrbuXMnjhw5AnNzc4wdO7bcqntOnTqlVhwbOHCg6idEVRsDISIioiLm77ukqng8HKwwuk3NSrlPS3Ozf5ezL+i3U3Tq2vFI6UmUiKORCepUqnFiivQnWnjgcpHbMUWot2NhA2tdWOR/h/5EEvgEPTgAbo2C1NSvokIeH4K4lEwsOxmFdWv3qEogud+ipFqpU5CnqgKSaWByv/xWkMpbrRB/vLZmMlw2hWP83APYcDIa7wx7F17pKfisfgd1mZ6N/NHvg29Qz89F6+ESEVVZCQkJmDt3rjo/YMAA+Pj4lNttHz9+HJGRkfj7779Rt27dUvclosrBQIiIiKhI+fTnq06q8892DVK9baTsWSsO1hZoVctdbTf2JyrawPpoZGJhf6JDlxLUhn9XSBOymtKNIZGcynQcecy68EamgIm0zBxsC49Rq6ZJAHTg0jXk51+/fzNTE7Su5VZQBRTqhVa13FSoRVTR5Fh9snMdtQLdS58vRdczx2Cen49u9Zvgxef6ol9DH4aRRES3IX/3f//9d6SlpakVxXr06FGut9+nTx9VfRQbG4s1a9agX79+5Xr7VL4YCBEREf1rc1gM9l2Ih7WFGZ7uXAdVlfQn6uZYTQUyOtLL57zqT5RQrKLoVFQSktKzsf1MrNqK6pIWi4HhhxAzcihqNQ9S09PWnriKbeGxyMrJK3bZej5OagqYfBDvGOTJJbtJU7JS2D8fD8Ms2yxk5udj6cT7YW3D3lRERHcSFxeH8PDwwqli5b0qmCw5P3ToUPz0009YsWIF2rRpA1fX69POqWqpMoHQDz/8gG+//RYHDhy45WXmz5+P7777DjExMWjatCneffddVK9evVLHSUREhmvSqhPq9KF2AZqu7lXa/kS1POzVdk9jv2L9iU5dTS4IiopUFJ2PSUGvAzvhlXIN++atwYdHZdWz6/xcbAungHUN8YK3M3uxUNVibmGBh94bq/UwiIj0iru7O95++22cPXsWvr7X+xmWpxYtWmDz5s04ffo05s2bh8cff7xC7ocMJBCShHLatGkqpbyVTZs2qQDovffeU3MRp0yZog6spUuX3vZ6REREJXEiMhFLD0eqhs0v9QiBoZCpXDJVTLb7i+yXqqHDB5vh7Ldz4da1G7rFZ8DR2gLd/g2BZIU1Tr0hIiIyPC4uLmjWrFmF3b68fxg+fDg+/PBD7Nu3DydPnkRIiOG8tzIkmicpOTk5ePXVV9GoUSMcO1Zkmdob/PzzzxgyZAgGDRqkfv7888/RoUMHFRR169atEkdMRESG6It/VxYb1NhPrdZl6GTKV/s2wWjf5k2M0XowREREVKEOHjyopoc1aNCgUu7P399fLWUvn9f37NnDQKiKKp+15crg+++/h7Ozswp7biUvLw+HDh1Cy5YtC/fZ29urSqG9e/dW0kiJiMhQXU1Mx8wd59T5Cb0M+w1LXm4uks5eX5mMiIiIDFtSUhJmzpyJr7/+WgVDlUWWnn/00UfxwAMPVNp9kh4FQlI69ttvv+GDDz647eUSExORnp4OT0/PYvs9PDxw9erVCh4lEREZum82nFZNlNsEuqNtbQ8YsjO/r8DK7k/j+DcFy80SERGRYa8qNnv2bKSmpqqqncqqEBJ2dnaqnxCnoFddmk0Zy87OxmuvvYZx48bB29v7tpfNyMhQp5aWlsX2y88pKSmlun9ZRljLpYSpZHSvEV8rKi0eQ3QnaVk5+HbDaXV+XPeg/xwrhnYMxew7jrzsHJjZWhvMY6rqDO0YosrHY4jKiseQ8ZIZNVIVZGpqitGjR5f6OCjrMSQFHtIipnnz5qW6PpXc3bxGmgVCsqKYNLOSZlN3YmVVsNJLVlZWsf3ys41N6VY9CQsLK9X1SBtHjhzRegik53gM0a38fTQB8alZ8HO0QHXE4ODB4kuzG9oxZDmmK3wa1kByPe9KLRsnwzmGSDs8hqiseAwZFwlh5s4tqAhu0qQJYmNj1VbZx1BmZqYah4wnPj7+PzN/SDuaBUKLFi1Sy8fLgalrLi0Bj/wsq4ndc889hZeVHkPW1tbq8kXJz9KMujSCgoJga2tbxkdBlZFuyn86UtooTdCI7haPIbqd3Lw8DJ+3Up1/tV8DNGta2ziOoX//9lLlMMhjiCoVjyEqKx5DxunHH39UYYyfnx/Gjh1bptW5y3oMnThxArt371ZfRk2YMEFVLFHFSEtLK3EBjGaB0KxZs1QIpLN69Wp88803WLhwIdzc3IpdVg6Wxo0bqyXr+vTpo/bJVLHjx4/jkUceKdX9y0HM/wz1B18vKiseQ3Qziw5G4kxMClztLPFw+8DbHiP6fAxlp6Yj/LelCHp4IMysi0+/psqjz8cQVQ08hqiseAwZjzNnzmD//v3qs/SDDz5YOOtGq2No2LBhaqGo8+fPq2CoXbt25TIe+q+7eX00C4R8fX2L/SwhkDSbqlGjhvpZml5JsiWNo4XMd3zxxRcRGhqqUsmpU6eq3kOdOnXSZPxERKT/Jq0+qU6f7lIHtlaa/UmscEcnzcKpHxciatshdJ59+4UciIiISP8FBgbiySefRFxcnGomrTUnJyf069cPCxYswD///IOmTZuWuv0LlZ8qW6f1888/o3379oU/d+/eHf/73//w1Vdf4b777lOlbzNmzGDCTUREpbI9PAY7zsTC0twUz3apA0Pm3qIurD1dEfzoIK2HQkRERJVE2rHI5+iqolu3bvDy8kJycjKWLFmi9XCoKgVCQ4YMwYEDBwp/fu6553Dq1Klilxk1ahQ2btyo5h3+9NNPVSLpJCIi/TRpVUF10Jg2AfByMuxvqPz7tkf/rT/CuwtX9iAiIjJk4eHhSExMRFUkPYx0i0pt2LABkZGRWg/J6BlufTwREdEtnI5KxsKDl9X5cT2CYajy8/PVdGxhbmOt9XCIiIioAkmf3enTpyMvL0+1W6levTqqmnr16qn+wDJdzN7eXuvhGL0qUyFERERUWaasOYn8fKB/Qx+E+jjBEKVGRGN1vxcQvYNLDBMRERmDOXPmqOlYjo6Oqt9uVfX444+rRtcyTtIWAyEiIjIqMckZ+GXbOXV+Qq9QGKqjk3/HtSPhOPz5TFUpRERERIZL2q/s2bNHVQZL2GJhYYGq6sY+wFLRRNrglDEiIjIq320MR0Z2LprXdEXHoIKVLA1Rk7cfh5mNFeqMHVA4bYyIiIgMc6rYH3/8oc736tULNWvWhD6IiYnB33//DT8/P9xzzz1aD8cosUKIiIiMRnpWDr5eH6bOT+gZYtBBiaWTPZp/+Aycgqpe/wAiIiIqP3/99ReSkpLUNLH+/ftDX1y8eBGHDh3CqlWrEBsbq/VwjBIDISIiMhqzdpxHTHImarjZYWgzw1ypMuXCFa2HQERERJXkyJEj2L17t/qSa+zYsVV6qtiNmjZtiuDgYOTk5KhKIap8DISIiMgo5OXlY/LqgqXmX+oRDHMzw/sTGLv/JJZ1fAy7X/kSebm5Wg+HiIiIKlidOnXQqVMn9OzZEwEBAdAnEmKNGDECpqamOHjwII4fP671kIyO4b0bJiIiuomlhyMQFpUMZ1sLPNy+FgxR9I7DyM/LQ152DkxvaNhIREREhsfa2hojR47E4MGDoY98fHzQuXPnwqlvUi1ElYeBEBERGYVJqwqqg57sVBsO1vpTTn036j5zH7rN/xxN3nxU66EQERFRBYqLiyu2Opc+90UcMGAAHBwccPXqVWzYsEHr4RgVBkJERGTwdp2NxZbTMbAwM8Vz3YJgyDxa1oOVq5PWwyAiIqIKkpaWhs8++wxTp05FYmIi9J2trW1hhdPOnTu5DH0l4rLzRERk8HS9g0a1qgEfZ1sYkvz8fIT9vAgBQ7vB0tlB6+EQERFRBZMGzAkJCbCysoKNjQ0MQZs2bZCbm4vWrVurnkJUOfhMExGRQTsbk4L5+y6r8+N7hcDQXFy8GQfe+R4rez+L3MxsrYdDREREFejo0aPYvn27miI2ZswYWFpawhBICNSxY0eDeTz6goEQEREZtKlrTiEvPx+963ujvq8zDI2drwcc6/ij1oheMLMyzN5IREREBKSnp2PWrFnqfNeuXVG7dm0YIpkytnv3bk4dqwScMkZERAYrPiUTP209o85PMMDqIOHevC56rfga0N9ekkRERFQC8+bNU1PFPD09MWjQIBgimQo/ZcoUhIWFITMzEx06dNB6SAaNFUJERGSwpm8KR1pWLhr7O6NriBcMlVQGmVmyOoiIiMhQHT9+HFu3bjW4qWI3ksfXqFEjdX7hwoVITU3VekgGjYEQEREZpMzsXExbF6bOT+gVqtfLsd4oNysb60f8DxcXb1LfpBEREZFhs7Ozg4+PD7p06YI6derAkMlj9Pb2RkpKChYvXqz1cAwaAyEiIjJIs3edR1RSBvxcbHFf8+owJGdmr0D0tkPY9/YM5KSkaz0cIiIiqmA1atTAxIkTC5dnN2RmZmYYPny4Or9p0yZERERoPSSDxUCIiIgMTl5ePiatKlhq/sXuQbAwN6w/d4Ej+6D++AfQ7N0nYOFgq/VwiIiIqILk5OQUnrewsDDYqWI3Cg0NRdOmTVUl9Jw5c1gRXUEM6x0yERERgJVHr+DElSQ42ljgsY61DbJnUP0XR6L6PZ20HgoRERFVkIyMDLz33ntYsWIFcnNzYWyGDRumQjBpML13716th2OQGAgREZHBmbT6hDp9vGOgCoUMRWpkDL8hIyIiMhLz589HVFSUaiadnZ0NY+Pm5obevXsjMDAQ1apV03o4BonLzhMRkUHZdz4eG05Gw9zMBM93C4KhyIxPxKrez8G9aTBaTRkPKxdHrYdEREREFeTkyZPYvHmzOi+rillbW8MY9enTB/369TOoxUGqElYIERGRQZm8uqB30IgWNeDvagdDEbP7GHJS0pAaEQMLe/YNIiIiMuSpYjNnzlTnO3XqhODgYBgraTBdNAxipXT5YoUQEREZjAtxqZi796I6P75nCAyJX++26LXqa+RlZcPUgn++iYiIDNU///yDuLg4NWVqyJAhWg+nyoRky5YtQ0xMDJ588kmth2Mw+I6SiIgMxpdrTyE3Lx/dQ73QuLoLDI1TnepaD4GIiIgq0KlTp7Bx40Z1fvTo0UY7VexGCQkJWLt2LfLy8nDkyBE0aNBA6yEZBE4ZIyIig5CQloUfNp9R5yf0CoWhuLBoE1IjorUeBhEREVWC2NhYmJubo0OHDmrpdSogTaW7deumzs+dO9com2xXBFYIERGRQfh+UzhSMnNQ39cJPesZxkoUiWEXseulyWqKWK9V38ChprfWQyIiIqIK1K5dO7WqlpOTk9ZDqXKkufSuXbsQHR2NdevWqRXIqGxYIURERHovKycXX64LU+cn9AwxmJUoTMxN4do4GJ5tG8G+hmGEXERERHTnahgbGxuth1HlyHOi66m0fPlyXLt2Tesh6T0GQkREpPfm7L6IyIR0+Djb4P5WNWAoHGv5odu8T9Fm2ssGE3IRERFRcZmZmfj6669x9uxZrYdS5bVq1Qq1atVSz9mCBQu0Ho7eYyBERER6TZYfnbTqhDr/fLcgWJqbwZCYmJrCwoHLzBMRERmqhQsXqkbJP/74I3Jzc7UeTpVmamqK+++/X31RdujQISQmJmo9JL3GHkJERKTX1hy/iiMRibC3MscTnWrDEOx57Ss41vFHnQcHwNTMsAIuIiIiui48PBwbNmxQ50eOHAkz/t2/o+rVq6sV2OrWrcteS2XEQIiIiPTapFUn1emjHQLhbGsJfRez+xjOzF6hKoO82jaCc2iA1kMiIiKiCpCVlYXffvtNVTu3bdsW9evX13pIetV8m8qOgRAREemtQ5euqQohM1MTvNA9CIbAvXkomn/8LNKj4hkGERERGbDFixerFbOcnZ1x7733aj0cvXXy5En4+fnB3t5e66HoHQZCRESktyavLqgOure5P2q6G8abAKkMqv1AX62HQURERBXozJkzWLt2rTr/wAMPwNaW/QJL459//sHKlSvRsWNHjBo1Suvh6B02lSYiIr10OT4Nf+6+oM6P7xkCfZcRm4A8NpIkIiIyCjt37lRTxdq0aYMGDRpoPRy9Va9ePXW6ZcsWXLx4Uevh6B0GQkREpJemrTuFnNx8dA72RPOabtBnEgRtefhdrB04HklnL2s9HCIiIqpg0kB67NixnCpWRkFBQWjRooUK1+bMmaNOqeQYCBERkd5JSs/GjM1n1PkJvfS/Oig5/DKSwi8h6cwlmNtYaz0cIiIiqmCybLo0krazs9N6KHpv6NChsLS0VNPwdu/erfVw9AoDISIi0js/bjmjQqFQb0f0qe8DfecUXAN9N3yPdt9NhK23u9bDISIiogqQnZ2tGkmnp6drPRSD4uLigj59+qjz8+fPR0ZGhtZD0hsMhIiISK9k5+Rh6tpThb2DTE1NYAhsvFzh3bmZ1sMgIiKiCrJ06VIsW7YMU6dO5dSmctajRw94eHggMTFRPcdUMgyEiIhIr/y97yIuxafBy9Eao1rXhD6L3nkECSfOaT0MIiIiqmDnz5/HqlWr1HmpZpEpY1R+LCwscN9996lqoYCAAK2Hoze47DwREekN+TZt0qqCpeaf7VoH1hZm0FfZqenY+cIkpEfFocMvb8OnSwuth0REREQVNFXs119/Ve9jWrZsicaNG2s9JIPUsGFDhIaGqnCISoYVQkREpDc2nIzCgYvXYGNphqc614E+y8vMgmvjINj6eMCzNZebJSIiMlQyhenKlStwcHDA8OHDtR6OQSsaBnFa3p2xQoiIiPSGrjro4Xa14GZvVWn3WxFvKKxcndB+xuvIvJbElcWIiIiMYKrYqFGjYG9vr/WQDF5eXh62b9+OrVu3Yvz48awYug1WCBERkV44GpGAFUevQKbcv9QjuFLuU1ap+Pjjj1WZd1ZWVoXch5WLY4XcLhEREWlvwYIFKqBo0aIFmjRpovVwjIK8Z1uyZAnOnTuH1atXaz2cKo2BEBER6YUvVhdUBw1p6o9AT4dKuU8rKyvEx8eruf/R0dHlcpthvy7BoU9+QU46l0QlIiIydI899hjat2+PESNGaD0Uo2FtbY2hQ4eq8ytWrFDv5ejmGAgREVGVdyUhHb/vvKDOT+gZUmn3KyuAVKtWrWAMV66U+fYy4hJx+ONfcOKbv3Fp2bZyGCERERFVZdI3aPTo0ZwqVsmkIqt27drqS7158+ZpPZwqi4EQERFVeV+vD0N2bh7a1XZH60D3Sr1vb29vdXr16tUy35a1mxNaT3sZ1Qd0RM0hXcphdERERFTV5OTk4MiRI1oPw6jJl3pSlSWn+/btw6lTp7QeUpXEQIiIiKq0lIxsfLcxXJ2f0Cu00u+/PCuEhF+vNmj77WswMeWfYCIiIkMk05S+/vprzJ49W+uhGDV/f3907NhRnZ8zZw5yc3O1HlKVw3ejRERUpf2y7RyupWWhjpcDBjTy0ctAKDs1HTnpmeU4KiIiIqqKLl26hOXLl6vzQUFBWg/H6A0cOBB2dnaIjIxEWFiY1sOpcrjsPBERVVk5uXmYsqagmfS4HsEw06CqRjdlLCYmRs1DL83SpdI36MrGfWg5+SV4tqpfAaMkIiIirUkFiqxMKquKyYpizZs313pIRk/CoDFjxsDJyQkBAQFaD6fKYSBERERV1j8HLuNcbCrc7a0wpo02f8SdnZ3h7u4OX19ftQz93QZCUh0UsWYX0iJjkJ+TU2HjJCIiIu2nil2+fFmFECNHjlT9a0h7jRs31noIVRYDISIiqpLy8/Px+coT6vwzXerA1kqbP1nyZm7IkCHqzYSZmdldX9/CzgZ91n6HiDU74dWOb0iIiIgMkQRBy5YtU+elmbGjo6PWQ6KbiI6OVk2/fXwqvw1BVcQeQkREVCVtPR2DPefjYW1hhqe71IE+s3CwRc0hXbUeBhEREVUAmSL222+/qdNGjRqpJc+p6tm/fz/effddzJw5U71WxECIiIiqqEmrC3oHjW0bAE9H6ypRsZSWllbiy6dcvIqrWw9W6JiIiIhIe6amphg0aBD8/PwwatQoThWrogIDA1W197lz57Bz506th1MlMBAiIqIq59TVJCw+GAF5P/VSj2Cth4OrV69i/Pjx+Pzzz0scHu2d+A023j8RJ2csqPDxERERkbbq1auHN954QzUvpqpJXpt+/fqp8wsWLEB6ejqMHQMhIiKqcr74tzronka+CK6m/Rx8aQ4pDaWjoqLUCiJ3kpedA4ea3jCztoJPj5aVMkYiIiKqXPIFUNH3BawMqvq6desGLy8vJCcnY8mSJTB2DISIiKhKiU7KwG/bz6nzE3qFoiqwt7eHlZWVetMny8/fiZmlBZp98DT6b/sJjrX8KmWMREREVLnOnz+PV199FYsXL9Z6KFRC5ubmuO+++9T5DRs2IDIyEsaMgRAREVUp32w4jcycPLSq5YZ2td1RFcg3fvJtkribNw42nq4VOCoiIiLS0tatW1WlSWxsrNZDobtQv3591fw7Ly8Pc+fOVZVexoqBEBERVRlpmTn4ZkOYOj+hZ0iVKr329vZWp1euXLnlZaJ3HcWucV8g81pSJY6MiIiIKptMJd+zZ4863759e62HQ3fp3nvvha2tLerUqWPUgZC51gMgIiLSkalicSlZCHC3w+CmVWuq1Z0Cofy8POyb+A0Swy7AwtEOTd95opJHSERERJVl7969yMzMhKenpwoVSL94eHjgk08+US0BjBkrhIiIqErIzcvDF2sKmkmP6xkCM9Oq9SeqWrVqtw2ETExN0eKz5+HVvjHqvTCykkdHRERElT1dTFcdVJUqmqnkrIw8DBJV6902EREZLVlmPjw6BS62lnioXS1UNb6+vmrOeYMGDW55Gfdmoejy50ewcnGo1LERERFR5YmIiMC5c+dgamqKNm3aaD0cKqOwsDBVLWSMvaAYCBERUZUwaVVBddDTXerAzqrqzWh2c3PDc889h0GDBhXbL/POsxJTNBsXERERaVMdJI2JHR0dtR4OldHSpUtVwPf333/D2DAQIiIizW0Pj8H2M7GwNDfFs131ax7++XnrsKzTY7i4eJPWQyEiIqJK0KFDB3Tt2hWdO3fWeihUDoYPH66qvQ4ePIjjx4/DmDAQIiIizU1eXVAdNLp1TVRzskFVJsvLxsfHF1YHnZ27BplxiUi9HK310IiIiKgS+Pj4qBAhJCRE66FQObUF6PxvuPfXX38hJycHxoKBEBERaSo8Khn/HLhc2Ey6Klu9ejUmTJiARYsWqZ+liWTn2R+g2YfPIPixwVoPj4iIiIhKYcCAAXBwcMDVq1exYcMGGAsGQkREpKkpa08hPx/o19AHdX2cUJXJ0rIiMjKycJ+ZpQXqjOkHU4uq1/eIiIiIyk90dDR+/vln1YSYDIutrW1hn8hDhw6pKnBjwHevRESkmdjkTPyy7aw6P6GKVwcJb29vdRoVEYmLS7fAvx+XmiUiIjKmZtK7du1CamoqgoKCtB4OlbO2bduqpeibNWtmNO/vWCFERESa+W7jaaRn5aJZDVd0Ci6ovqnK3N3dYW5uDp8Tcdj+1MfYNW6K1kMiIiKiSpCbm4sdO3ao8+3atdN6OFQBTE1N0aJFC3VqLIznkRIRUZWSkZ2Lr9YXlFxP6BWiF9/EmJmZwcvLC7lmJjCxMIdvj5ZaD4mIiIgqweHDh5GUlKT6zMhy80SGgIEQERFpYtaOc4hJzkR1V1sMa+YPfSHTxi4GOsLp4wfh14ffEBIRERnLdDHRpk0b9QURkSFgIERERJUuLy+/cKn5l3oEw9xMf/4cFfYRykjWi6omIiIiKpv4+HgcO3ZMnW/fvr3WwyEqN/rzDpyIiAzGssOROHU1GU42FnikQyD0QUbMNWx76mPUcHBD165dWS5ORERkJLZv365WnZJG0jJ1nMhQcJUxIiKqdJNWn1CnT3aqDQdrC+iDwx//gktLt8A9Kh7DF3yu9XCIiIiokjg7O8PT05PVQWRwGAgREVGl2n02DpvDYmBhZornuunPkq2hz9ynqoQavfaQ1kMhIiKiSiRBkKwsJlVCRIaEgRAREVUqXe+gka1qwNfFFvrCIdAPXf74SJ1PT0/HlStX4OLiojYiIiIybNI3kL0DydCwhxAREVWaczEpmLfvkjo/vmcI9EFWYsp/9s2cOROffvop9u3bp8mYiIiIqOLJMvO7d+9Gdna21kMhqhAMhIiIqNJMXXsKefn56FWvGhr4OaOq2/nSZCxpORbXFm4tViauW2lMqoSIiIjIMO3YsQM//fQTvvnmG62HQlQhOGWMiKgcpWXmYPiMbWoZ9Ve6BqJNqI/WQ6oy4lMy8dPWs+r8hF6h0Ad2/l7Iy8pGTkJKsTJxBkJERESGTb4I2rZtmzrfrFkzrYdDVCEYCBERlaPlRyKx9HCkOl/3h1+w3d4azd59Ap27cYnyGZvDkZqZg0b+zugWWvWWbE25FIVjX/6JkMeHwCmoutoX/Ohg+PVrj7MpccUuWzQQkjeM7ClARERkWE6fPo2oqChYWVmhRYsWWg+HqEJwyhgRUTlau+O0fKWE5tZ5qBsfBa+LF3Dvz7vRbdJ6bDoVDWOVmZ2LaevC1PkJPUOqZIBy6MOfcO6v1Tj6xe+F+ywd7eBY2/8/l/Xy8lKPIS0tTfUXICIiIsOiqw5q3rw5rK2ttR4OUYVghRARUTnJzc1D02nfYqqJGUK+nojqj0zDnzPXITHNEetPRqntycxIDOzTFD1HdIKpqfFk8n/suoCriRnwdbHB8BY1UBVkxCXCzNoSFnY26ud6L9yPrKRUhDwx5I7XtbCwgIeHB6KjoxEZGQknJ6dKGDERERFVhtTU1MKFIzp06KD1cIgqjPF8GiEiqmB7dp6ETWYmnLIy0KFtCEKbBOK9KY/j9Ef98VTn2vDIyUSbzRuR8OrnuG/cLKw+VjDdyNDJY5y0+oQ6/2L3YFiYa/+n5/SvS7C07UMI+3Fh4T7n0AB0+eNDuDUp2epn7CNERERkmHQri/n4+KBmzZpaD4eowmj/rpyIyECsvZaHx7reh80jR8LW/nppcQ03O3z7QAvseqMX4lo3xwnXapifbIFeUzaizcdrsHTDceTl5cFQrTx6Bccjk+BgbY7HOgSiKrB0cUROWgaidx0pdSjXtm1bDB8+HCEhJQuQiIiISD9cvny5sDqoKk5zJyovnDJGRFROVhy5gkxzC7Tq1fymvw+o7Y2X/nobkfGpSFp9CtM3hWNveAzO/PojptnbIuDDF3BP78YG98Zj0qqT6lTCICdby0q//5z0DIT/tgxOwTXg3aXgtak+oAMsnexRrVPTUj/fjRs3LueREhERUVUwevRo9OjRA46OjloPhahCsUKIiKgcxKVkYufZgpWo+tQvmEp0Kz6udpgyoinOfTIAr9d3hHNWBmwSk3Df3KNo+t5K/LP/EvLyDGMq2f4L8ap3kpmpCV7oHqzJGE7OWICDH/6EQx//gvx/K7FMTE3h3bmZwYVvREREVD6qVasGW1tbrYdBZLiBUEREBJ5++mnVub1Vq1Z46623kJKSctPLykouUpYfHBxcbDt48GClj5uI6Earf1qOcfvWYVhWDKq72ZXoOtWcbPDuuAHovukHxDwxGpa21jh4KQFDvt2KCX0mYu6X/yA3Jxf6bPLqguqg4S2ql/h5Kau87BxkJSQX/lxn7AA4162FoEcGlnvPpkuXLmHnzp1IT08v19slIiKiypeVlYXk5OvvIYgMnWZTxuRN+RNPPAFfX1/MmTNHdXJ/44038Pbbb2Py5Mn/uXx4eDjMzc2xbt26YivzODs7V/LIiYj+K2L1TjSLiYCfyd33yPGt4YU3XhmMp1IyMXXtKSyetw0tjx9C9onD6HA+A8/f3xb3NveHmZ6tSnYxLhV/7bmozo/vWTl9dqK2H8KeV7+CW9NgtPnyZbXPysUBvVZ+VSHVQNOnT0dsbCzGjx+PoKCgcr99IiIiqjx79uzB7Nmz0bVrVwwbNkzr4RAZbiAkb6Br166NiRMnwtPTU+2799571Zvrmzl9+jT8/f3h5eVVySMlIro9md71m1cQatUxx7PDupT6dtzsrfD+oIZ4rqUf5r6TjkOnIrEjGdjx/Xa8s9gBb4Q64L5hbWFpZQF98OXaU8jNy0fXEC80reFaKfdp4WCHlPORyElNR3ZyGiwcCkq9K2pqmKw0Jn/PZKUxBkJERET6bevWrcjNzYW9vb3WQyEy7EDIw8MDU6dOLfz5woULWLRoEdq1a3fLQKhWrVqVOEIiopLZez4eR01tcaFuY8zr06LMt+fp44pnvx+HxLQs1Fgfhi9Wn8KVC9HI+X0Gvv/QHvafvYJRvRtVieXbbyUhLQvfbz6jzk/oFVJhlaZXNuxFVmIKag4uCOJcG9RGu+kTUa1zM1jY2aCiSSB05MgRREZGVvh9ERERUcWRv+Vnz55Vs1HatGmj9XCIjGeVsQceeECV58n0sQkTJtwyEMrMzMTIkSNVeBQYGKhK9Bs1alSq+5TkVzaq2nSvEV8rqsrH0NLDBUuT9qhbDaYm+eV2X/ZWZvhfn1A807k2fvl+FXK2myPRxBzP/XMC72+9hNf6hOKB1jVgaW6GqmbGxtNIycxBXW9H9Aj1rJDnP3LNLmx77ANYOjugWpfmhdVAPr0L3sSV133e7hjSVa1KhRD/n6Jb4d8yKiseQ1RWPIbubMuWLeq0QYMGqkKIz1VxPIb0x928Rib55d1hsxROnDihmkZ//vnnuHbtGhYvXgwrK6til+ncuTMcHBzUFDM7Ozv8+eefWLZsmaoqCggIKPF9yf3I/RERlZevPlyOXXDAvQPrY2B9lwq7n5SkdCzfHYkfLgHXMnJhmpeHtw5tgF2bumh7fxtYWVf+ku43k52bj4GzzyE6NQdvdfHCPSFO5XbbeemZMLUp+PuQn5uLSy/PgG3DQLjc2wlmdtaobNHR0Vi4cCFsbGzUErVERESknx+gf//9d1WA0Lt3b1SvXl3rIRGVWWho6B1XyjOvKgMV06ZNQ6dOnbBx40b06tWr2GVWrFihTuVNty65lTL9uXPn4tVXX73r+5ReD1xGUD/+c5bXWV5vM7OqVwVBVV9FH0OXz0Wh554d6A2g+YdDEBDki4rUviPwRlaOmo61/odlCI6ORNLyOIw298eL/Rvg4fa1YG2h7b+V33eeR3TqaVRztMarQ9vDqhzGk3rpKva/NQOZcQnotuiLwp5Ajdd8B5MK/r/hdsdQRkaGCoRklbE6deqoLyyIbsS/ZVRWPIaorHgM3d7evXtVGCQLFvXv37/YIkZUgMeQ/pAimLCwsKrfVHr37t3o27dv4T5pLi3/COPj4/9zeV0QpCMfBmTa2NWrV0t1/3IQ80DWH3y9qKoeQ5uPRWCndwD8THMwIrRyvk1ysDHD+F518USbGpjzkTNWnYzB2ZQcPD/nAD5ecRJveeXggSf7wN6x8sMJKTr9Yk3BH6DnuwfBtpyqliwd7BG76yhyM7OQfPICXOr/u5pbJf6/cLNjSAIgV1dX9XdLqoVksQSiW+HfMiorHkNUVjyGbm7nzp3qVPrZWljox+IdWuExVPXdzeujWfQZERGBl156SfUG0rl8+bJ6Uy3fshYl08hatGihlpwvmlCePHlShUJERFpZHpWFbxu2R8orT1f6fUvg8+gnj2H236/i21HN4e9qC+uLl+H81c/4vfmD+GLxQaRm5lTqmNYev4rDlxNgZ2WOJzqWPhxJPheBM3+uLPzZ2s0Jrb4Yh74bZlwPg6oIWZb22WefhY+Pj9ZDISIiolJ45JFH1IrXt1rgiMhQaVYhJKVmTZs2VT2B3nnnHeTk5OD9999X/wibN2+O1NRUVeokq5G5uLioy3722WdwdHRUP//0009ISEjAqFGjtHoIRGTkcnLzsOpoQZVi3wbahQEyReypLnXwSIdamDV9Oa4dscdRRw98u/gEPtlwFhN6huCpjrXgUAk9diatPqlOH2lfC672xXvBlVTKpSgs7/KEOu/Rqj4ca/mp8/792qMqatasmdZDICIiojKQJtLdu3fXehhElU6zCiGZl/n111+rhl0PP/wwHn30UVUZpFuK/ueff0b79tff/EvD6VatWqmqoqFDh6oVXWbNmqXCISIiLWzfdw45CUlwsbVEq1puWg9HrTb2yLMD8PCB39HsvSdQy8MeMcmZ+ODPXfit6Rh8++w0JCSlV9j9H750DauPXYWpiQle7B58V9fNy75eyWTv7wXvLs1RrVMzQPNlD4iIiIiIDJOmTaXd3NwwefLkm/7uueeeU5uOVAa99957aiMiqgoOzliA6Rs24HS7djA3qzrNB61sLPFw74YY06M+/th1ARs//R3uaSk4t343ar3ugxd7huD5bkFwti3fVckm/1sdNKyZPwI87Et0nZy0DBydMhuXlm1Fn7Xfwdy2oIqp3XcTYVZFVk27k6ysLNVkMS4uDj179tR6OERERFRChw4dwqpVq1R1kMxIITI2VecTDBGRnok9E6n+Ew1sXLV62uhISDWmbQCmz30Nec8/iC1t2uNaejbeXnQEAa8sxJfPf4Ooy7Hlcl8R19Lwx+4L6vyEXiElvp6phTkuLd+G1EtRuLhkc+F+fQmDhEx5/v777zF//ny12hgRERHph61bt+LMmTM4e/as1kMh0kSVWHaeiEjfRCak4f3aLeHiVx9Hx/ZCVWZpZYGRL9+H4Xl5mLf3Et5fegxO+w7C6/BW/L1qE658+D+81Ksu3B1K1/NHfLUuDDm5+egY5IEWAbeePpedmo5LS7YgYHgPtVqkBELNPnhK/c67c3PoI1tbW7VCpvS1k5UvAwICtB4SERER3YEsXCQVvqJoqxIiY8JAiIioFFYevaJOa4f4wcdbP3qZmZmaYnjLGri3eXXM/8UMkZdPYKOrPxauPIkvN4TjmS518ELb6vDxcb2r203OyMb0TeHq/ISeobftE7Si+1NIuxwNay8X+HRpofbrTvWZt7e3CoQiIyMZCBEREemBHTt2ID8/H7Vr10a1atW0Hg6RJjhljIioFJYfuaL56mKlZWpqgnsf6YVn9/2KMZ8+jibVXdTy9H/N3YbVbR/E1NEf40pCWolv76ctZ5CYno3gag7o17D48yFvtArv18Ic1ft1gH1NH5jABIZEAiEhCx4QERFR1ZaXl4dt27ap8x06dNB6OESaYSBERHSXMtOz0G7aN3ji6Hb0rOkIfWVmbobBLWti35u9sOS5jhiSfhXWuTk4e/ISav1vKV6cs09NjbudnNw8TFlzSp0f3zNEhU26IOjs3DVY3vlxpFy8Wnj5+uNGoe/66WoVMUPCQIiIiEh/nDp1CrGxsbCxsWEzaTJqDISIiO7SpiU74Z2SiGYxEWhZV/8qhG4kvXz6N/LFpEXvwu69F3C6c0dkZOfiy7VhaDBuHiaPeB/hJy7e9Lrz9l3Cxfg0eDpYYXSbgGK3eWHhRiSfjcCpHxcW7pdVxKRSyNAwECIiItIfW7ZsUaetWrWCpaX+LGRBVN4M7105EVEFW59ni2XNu6Ovvz3MLSxgKExNTTHgoV7on5+PdSei8O6So6i2Yi18zxzG3HvDcPHV5/Fan1DUdLcvrAL6fOUJdf7ZLnUQt2EPvDo0gblNQXPqRq+ORXTHpqg9th8MnS4QkqXnMzMzYWVV+gbdREREVLGaN2+O1NRUNpMmo8dAiIjoLi07EY2jbt6YOKoNDJFU93SvWw3dQr2wOsASR7+4hkXuAdi9KRw/bT2Dsa1qYnwzT0RZ2WH/xWuwsTRD24X/YMuanWjy1mMIfmywuh3XRkFqMwb29vZ4+umn4eXlBQsDCgmJiIgMkUwT41QxIgZCRER35VJ8Ko5GJMLUxAQ96xVUhRgqCYZ63ddRbc1PReGDpcew9kQUji7YiP3vbMHWOvWAgCZ4qF0t1DR1xLVtB5GXmwtj1ahRI62HQERERERUYgyEiIjuwppZa9H3/HHkNW8IN3vjmRbUKdhLbdvDY7Bq3Jcwy89HTK4pTEyAl7oHI8C1MXx7tIa1u7PWQyUiIiK6qfPnz+PEiRNo27YtnJyctB4OkeYYCBER3YX4Resx+vRpxAW7wxi1re2Btos/wOalu+B0PhVTQnxR28tB/c7Yw6CYmBjs3btXTRnr3r271sMhIiKiG2zcuBE7duxQf7PHjBmj9XCINMdAiIiohDKzc7HexgON3FIwYHBHGLOO/VvBuJ+B/4qPj8fChQvh6enJQIiIiKiKSU9PV1/ciHbt2mk9HKIqgYEQEVEJbTkdgxXegTgQUg8fdm2s9XCoiq40Jt86ZmVlcRlbIiKiKmT37t3Izs6Gj48PatWqpfVwiKoEU60HQESkL1YciVSnvet5w9TUROvhUBXj4OAAOzs75OfnIyoqSuvhEBERURFbt24trA6ShTOIiIEQEVGJHVuzFxa5uejb0EfroVAVJG8udVVCV65c0Xo4RERE9K+LFy+qzdzcHK1bt9Z6OERVBgMhIqISOHHwLB5ctRDTN/6NrrVctB4OVVG6QCgysqCajIiIiKpOdVCTJk1gb2+v9XCIqgz2ECIiKoHN204gx8oWmW4ucHMtWFWL6EbSl0CwQoiIiKhqVfHKKqBsJk1UHAMhIqISWJJrj2WdhuCzPkFaD4X0oEKIPYSIiIiqjvvvvx8DBw6EtbW11kMhqlIYCBER3UF6Vg7Wn4ySr5fQq1Wg1sOhKiwgIABvvfWWWnqeiIiIqg5bW1uth0BU5bCHEBHRHWw8cRXpWbnwdbFBAz9nrYdDVZh88+jr66vK0omIiEhb8fHxuHz5stbDIKqyGAgREd3BiY9/xqfblmCsaQKXKSUiIiLSE+vXr8f777+PefPmaT0UoiqJU8aIiO7A4vAJ+KQkwqKmm9ZDIT1w/Phx7N27F4GBgWxeSUREpJHs7Gzs2LFDnQ8KYg9IopthIEREdBuno5IxsXkvNLl2BYvu7aj1cEgPREREYNu2bcjIyGAgREREpJHDhw8jJSUFzs7OqFevntbDIaqSOGWMiOg2lh+JRIqlFSw6tYKLu5PWwyE9WmmMS88TERFpZ8uWLeq0bdu2MDMz03o4RFUSAyEiojsEQqJvg4IP+UR34uPjU7j0fG5urtbDISIiMjqxsbE4ceKE6v3Ial2iW2MgRER0C4nXUhA8Zx7aR55Fn7rVtB4O6QkXFxdYWVmpMCgmJkbr4RARERkdmbotQkJC4O7urvVwiKosBkJERLewYd5mtI08h/vPHkaIL6eLUcnIt5G6aWORkQUVZkRERFR5jh49qk47dOig9VCIqjQ2lSYiuoUtKSa4XKs+GgV5w9SU+TmVnARC58+fZx8hIiIiDbz22muqqXT9+vW1HgpRlcZAiIjoJvLz8zH/ajYu1GmC0c9ydTG6O7oKoaSkJK2HQkREZHSkiXSTJk20HgZRlcdAiIjoJk5cScKFuFRYmZuiS4iX1sMhPdOxY0d06tQJ1tbWWg+FiIjIaGRlZcHc3JyV3UQlxH8pREQ3sXbhDtRMikPnIA/YWTE7p7tjY2PDMIiIiKiSrVu3Dq+//jp27Nih9VCI9AI/5RAR3UT2rIX4+PJFJNe20XooRERERHQHeXl52Lp1K+Lj47UeCpFhVwhNmzYNZ86cKf/REBFVAYlpWbicY4IMM3O0HszVKah0Vq5cicmTJ+PYsWNaD4WIiMjghYWFITY2VlXoNm3aVOvhEBluhdDx48fxww8/ICAgAP369UPfvn3h7+9f/qMjItLA+pNRmNqoI4LdbHCyRZDWwyE9FRERod6c1q1bF/Xq1dN6OERERAZNqoNEq1atYGVlpfVwiAw3EJo+fTpSUlKwZs0a9Q3o119/jZCQEBUO9enTB15ebMBKRPpr+ZGCpcJ7NWbQTWVfaYxLzxMREVUs+Wx64MABdb59+/ZaD4fI8JtK29vbY/DgwZgxYwa2b9+Odu3aYcqUKejSpQtGjx6NpUuXlu9IiYgqaf75+gPn1fm+DXy0Hg7pMR+fguOHgRAREVHF2rlzJ3JyclC9enW1EVElNJWWFFYqhFavXo3ExET07NlTTR+LiYnBF198gc2bN+Ozzz4ry10QEVWqvZuO4N0FM3HU0wcdg+7VejhkIBVCEjRyCVwiIqLyl5+fj23btqnzrA4iqoRA6MMPP1TTxeLi4tCxY0e8/PLL6NatW7G5mnZ2dnjjjTdKc/NERJrZs3w33PLz4G5vBRtLLsRIpefu7g5zc3NkZ2erFU/kZyIiIip/MkNFQqGWLVtqPRQivVKqTzuywthzzz2nKoIcHBxuepkGDRrgm2++Kev4iIgq1V/uATjdfiDe6R2s9VBIz5mZmameetJcWqqEGAgRERGVPxMTE9SqVUttRFQJgdDPP/+sTsPDw1X/ICmDDw4OLjZfk/M3iUjfJKRlYfuZWOTaOaJn3+ZaD4cMZNqYNLrMyMjQeihERERERGUPhGSqmFQI7d+/H05OTqo3grzh1TWWvlXVEBFRVbbm+FXk5uUj1NsRAR72Wg+HDMDDDz+sKoWIiIioYppJS5FC586d4efnp/VwiPROqTpcTpw4UfVFWLt2LXbt2oU9e/ao5tLyDeg777xT/qMkIqoEYVNmY8yJPRjswQ/wVD4YBhEREVWc9evXY8uWLThx4oTWQyEyngqh3bt3Y+7cucVS2Bo1aqgm0iNHjizP8RERVYrcnFy4796LwIx0OLn313o4RERERHQbly5dwoULF9SXL61bt9Z6OETGUyHk7++PU6dO/Wd/ZGQkfHx8ymNcRESV6sCFa/gxpCU21ghGp3vaaj0cMqClcL/++mu89tpraqUxIiIiKh9bt25Vp40bN2bLEqLKrBAaOnQo3n33XRw7dgxNmjRR08ekTG/mzJkYMmQIFi5cWHjZQYMGlXZsRESVZuWJq9jrVR1+vdvC1t5a6+GQAa18Ehsbi2vXrqmVxlxdXbUeEhERkd7LyspSrUtE+/bttR4OkXEFQr/99ptKYVetWqU2HTs7u2L75I0wAyEi0gfLj1xRp33qe2s9FDLAlcYkDJKtXr16Wg+HiIhI78niRunp6XBzc0NISIjWwyEyrkBImncRERmKK5diYbtpO1zdfNGnAQMhKv9ASEggREREROU3XUxWuTY1LVUXFCIqbSAkoqOjMXv2bJw5cwa5ubmoVasW7r33XtSsWbN8R0hEVME2zN2AR4/tQrSLG/xdH9V6OGRgGAgRERGVn7y8PAQFBSEuLg5t27LvI1FZlCpO3bt3L3r16qXmbcpKY7LJ0vMDBw7Evn37yjQgIqLKtu9qKk45eyC/WX2th0IGSLfYggRC0mSaiIiISk8qgu655x589NFHcHFx0Xo4RMZXIfTJJ5/ggQcewPjx44vtnzRpEj7//HPMmTOnvMZHRFShcvPyMDPbEbGtemPjy121Hg4ZIE9PT9VTLy0tDUlJSXByctJ6SERERHpP/rYSkQYVQqdPn1Yrjd1o2LBharUxIiJ9sfd8PGJTMuFoY4G2gR5aD4cMkIWFhZpOXbt2bdUAk4iIiEonPDwchw4dUi1LiEijCiFfX18cPnz4P/2C5B+nu7t7OQyLiKhyrN5yEib5eehZtxoszNmUkCrGa6+9pvUQiIiI9N6yZctw/PhxNWWsX79+Wg+HyDgDoUcffRRvv/02zp49i4YNGxaGQbNmzcK4cePKe4xERBXG/suf8P21a7Bo9aTWQyEiIiKiW4iNjS2cjdKyZUuth0NkvIHQkCFD1Onvv/+OX375BVZWVggICMCHH36IPn36lPcYiQxeamYOLM1MWaFSySKvXIN9QgLsc7LQuktBuE1UkaTE3czMTOthEBER6Z3t27erxRmCg4Ph4cFp/kSaBUI//vgj+vfvXxgMEVHpHTl4Fv2/3oLQetWx4sXObJBXidaeS8CTnYehp30uRtQpWAmKqCLExMRg6tSpyMzMVIsv8N85ERHR3S01L4GQ6NChg9bDITIYpSpHmD59OrKzs8t/NERGaNWr3+L9NX8jY/VWbAuP1Xo4RmX5kUjkmZqiWZfGWg+FDJysLBYXF4fk5GS1ERERUckdO3YM165dg52dHRo35vs2Ik0DIakO+u6773D+/HlkZWWV22CIjM2hc7FIvhILy7w8nHN0w6RVXKWvsuTk5mHVsSvqfN8G3loPhwycpaUl3Nzc1PkrVwqOOyIiIiqZrVu3qtPWrVur1TuJSMMpY5s3b0ZkZCT++eefm/6eS88Tlcz7K09ifoue6O+Uj4uJJnBZuweHW1dDw+ZBWg/N4G1evBMvbViCQ9UD0arWcK2HQ0bA29tbNcSUQEj6HxAREVHJ+u8lJiaq8+3bt9d6OEQGpVSB0CeffFL+IyEyMgcvXsP8fZdgYmqCT8b3Q/NnJiF43z6s+SgBDRe8r/XwDN7RJVsRlBADW18PmJmymTdVTiB05MgRVggRERHdBVmM4bXXXlN/P+VvKRFpHAhJZdDrr78Oe3v7YvsluX3zzTe5DCBRCcyYshBmeRa4r3Ut1PN1wpXRvXDp4CHsj89CVGI6vJxstB6iQZvnHgCLuul4aFhrrYdCRsLHp6BxOQMhIiKiu8cwiEjDQOjAgQO4cOGCOr9w4ULUq1fvP4HQ2bNnC+d3EtGtbVu1D53m/Y1gWwf0fPMbta/r4LbodPgxbI1IQeCG03hvEJdBrygR19KwJT4HJtWD8Od9nbQeDhnZG1kGQkRERCUjjaStra1hY8MvSok0DYTkH+FXX32F/Px8tcnS86ZFplnIErq2traYMGFChQyUyJDMXHYQjS1tkFO7JuoGuKt98u/phQGNsHX6Nnyz4TRe61MXtlalKuKjO1h5tOADeYuabvB0tNZ6OGQkqlWrhpo1a6pgSPohSAk8ERER3dqCBQtw8OBBjBw5Em3atNF6OEQGp8SfNkNCQrBu3Tp1fvTo0fj666/VMrpEdHd2nY3F92m2sOk8GHtf7lLsd4Ob+qGWhz1SLlzBrJ/W4Imn+2g2TkN2auYyNI9KR79ebN5NlUe+4fzf//6n9TCIiIj0QmpqKvbv34+cnBxOFyOqIKUqP5g1a1b5j4TISLy96Ig6HdG+NuqG+Bb7nTQ3ftUzF/a/L8K1Aw7Ieaw7zLm0ZrnKTM9C6Np1aJqTDd8niwdyRERERFQ17Nq1S4VBfn5+qFGjhtbDITJIpVpa5/jx46psr0GDBggNDf3PRkQ3t2HlPpzdehjmZiZ4o3/9m15m+IPdkWZpiYvW9vhn06lKH6Oh23b0Mjb6BOK8qwfa9mqm9XDICMmb26SkJK2HQUREVGVJi5ItW7YULjUv7UmIqIpUCE2cOBEODg748ssv/9NYmohubf97P+C9SxcR1q+3mhp2M04u9rj83qv4bMM5tNwViWHd6vGPYDlaeT4RM0NbYHSbmjAzZw8Xqlz79u1TPfiCg4Px4osvaj0cIiKiKun8+fOIjIyEhYUFV7AmqmqBkKwmtmTJEpbuEd2FjUcjcSrPEu5m5hjxzD23vexT/Rvhky0XsPtcHLaejkGHIM9KG6ehW/FvQ+m+DQqWACeqTC4uLsjLy+NKY0RERLehqw5q1qwZ7OzstB4OkcEq1ZQxmRZ25syZ8h8NkQGXvb69/Dh+qN8G+16fgKAGNW97eS8nG4xpGwCrnGz8+c2SShunoTt7LgqxYZdgamKCnnWraT0cMkK6ppgJCQlIT0/XejhERERVTnZ2tmomLdq1a6f1cIgMWqkqhAYOHIg33ngDQ4YMUVVCUspX1KBBg8prfEQGYcPJKGwOi4GluSleGdq8RNd5sW11NH/nYzhmZ+LgiLZo3Ib9ucpq0y8rMWXrIpwODIKr/Qith0NGyMbGBs7OzioQklL4wMBArYdERERUpchny7fffhsHDhxAnTp1tB4OkUErVSAk/Q9k+dzly5f/53fS64SBENF1Mj1k/nu/wcncA2O6NoKfq22Jrle3djUsr1kdaZevYv+qwwyEysGZU5cQYmIK13q1tB4KGXmVkARCMm2MgRAREdHNp1h37dpV62EQGbwSB0J79uxBkyZNYG5ujvXr19/0MlL+/ttvv5Xn+Ij03vJZ69Bh6yY0trBCn8+H3NV1W3z2Irp8tx2WV4HxielqKhmVTmZ2Lqa6ByO3a3VseYrLzZO2gdCJEyfYR4iIiOgmbRa4mApRFewhNGbMGCQmJhbbN2DAgGJvaFNTU9XKY0R0/Y/aj3sjcNrJHaltmsGvmvNdXb9js5poGeiBzJw8fL3hdIWN0xhsCY9FamYOXNwc0ayen9bDISOm6yPEQIiIiKi4uXPnqs+T7FdLVMUCIflge6PLly8jJyfnjpcjMlbLj0RiUboVPunQD8OnPn/X15dvSF7uFSr/sLDur41IvJZSIeM0BisOR6rTPg28+c0TaapmzZpqCd2GDRtqPRQioiohNzdXTaW9ePEizp07h6ioKKSkpKj9ZDyysrKwc+dOHD9+HBkZGVoPh8golKqH0O3wgxbR9XD0rYVH1PlnuwXD28OxVLczqIkvXj+5HfUvnsXfn9nh0Y8fKeeRGofqn32FcWZWaD04WOuhkJGrXr06HnmE/46JyPB7KEqoIzMMkpOT1WlSUlLhNmrUKNWTVPz555+Fy4zfSC7z6quvwsfHR/0sq08dPXoUtra2ajlyOS16Xi5naWlZqY+Vyoc0kU5LS4Orq6ta1ZqI9DAQIqIC//y6Bo7b98ApIKigyqeUzExNEdC5KTJmX8DWo5fxUF6e2kcldzE8Cj5xMfA0MUGX5gFaD4eIiEhvQx75wH5juKPbRowYoVZT1IU8mzdvvuVt9e/fvzAQcnR0hKmpKezt7WFmZqbuIzMzU/1OKkV0lxNnz57Ftm3bbnm7shKyv7+/Or927VrV+/TG0Ei3tWnTRq38KCS0kvuS/fIYZDxUubZu3Vq41Dyff6LKwUCIqALk5uTi0tTf8UR8LK4GOMLdwapMt3ffK8NR75o1LmWZoN/+y7i3efVyG6sx2Jlmiblt+v2/vfsAj7rK+jj+S08gEEoCofcSeu8dQq82RGzorroqropdEeva1hUr9g52KStNQhUQkd57h4Sa0NLL+9zrmyygKJBM/lO+n+eZZyYzycwJucz858y55yi2aJauLVvS6XAA+6bqyJEjdlCD+SQUAJysaDYJmDMTO2dW9QwdOjQvyfPll19q/vz5572vPn365H1vsWLF7M4Bk+QxCZ9zT7nfl/tzJkF0ZhLAbBczcZlTRERE3vUNGza0P5t7W+7J9DI15ybpk8tsQzt69Kg9/ZEGDRrkJYRMhdLkyZPtZRO3eYwzk0fm3yG3Sslsbdu1a9fvEkzma5O8Iplx8cw2wS1btth/+3bt2jkdDuAzLiohNH36dPukfuYB7axZs/IOZs0LBwBp4vK9mhVVRT3T0nT1I9fk+/6KRRTVjT0b6Okf1uulGRt1RfNKbM+8CIv2JmtX8VKqeXljp0MB8ppmzp07Vz179tTll1/udDgAvDDJY6pdzq3gya3sufLKK89K8sybN++899W7d++zkjyGSXz8UZLHJEXOTPL069fPVvz8laCgoN9dZ37OPF7uY+aqU6eOPV2I2NhYNWvWLC9ZdG7y6MxEk/k3CwkJsZVJuUkyczrzfU8us2UtN3l0LnN8NmrUKNWqVct+vXr1av3yyy+/Sx6Z5FL16tU5njunOqh+/fp8UAK4Y0LIPGl9+OGHZ11XunRpff755384PQXwVdnZOXpi6gatr1pPze+4QtGVogrkfu/sVlsvztioXRt2a+6cNerWneTGhUhJz9Sy/b8d0PVt9Nsne4DToqOj7TmTxgBcDJOsMMmMc6t4zNcmuZybuDFJZ7NV6s8SJecmeUyS4q8qeXr16qW+fftecpKnsJmEz5lJnz9jklfmZAbmnJs4MifzvidXVFSUGjdufNbt5nJGRoZNJp25xW3//v1avnz5Hz5mjRo1bC+lChUqyJeZarCff/7ZXu7QoYPT4QA+5YITQn/2ogLgf75ZtkfrDxxXRFiQ7slH76BzlSkeqoeCjqn2Tz9oxYF16tb9tQK7b282e/ISDdq0Qntq1lL98hd2UAi4Wu62AxJCAC7U4sWL9e6775739m7duuUlb3Ir+k1i4q8qeUxyyCR6LiSB4wvNms1W3tx/p/Np2bKlPZ3LJIRMcujMHRWm4sX8Hc5MHplm25s2bdLu3bvP+lv4KpNEGzJkiG0qzQROoHDRQwgoQJkZGfr14TdUvVRl3Tioq0oUKdgDpyHXdtX6Sf/V0aRkbdhzTPUqU1L7V7Z/P09DdqzT/lLBlGXDbeRW05q+FmbMri+8yQJwcUyPGlNNmFttkntuEjem6uXPkjzdu3e3iZ4LeW4x26RQMHL/NmeqUqWKPZ3LVHZt27ZNJUv+r7ehqeyqVq2amjdv7lN9iEwSzjSSNicAhYuEEFCAvh47US22rFfdoG26/N0RBX7/jVvX1Yu33aYJO0/ryNxteu+GVgX+GN72idPs4JKqHl1VXfpxkAH3YbZomE+QzafECQkJdhQ9ABgHDhzQlClTbLXEwIED7Tam3AbI11xzjU38/NUHHGduWYJ7Mokjk/jJZRpVz549217+73//a3s3tW7d+oK25wHApfKd1DPgYplZ2Xp1b4bml6+u9AHdVbLk/8qFC9LtV7W155/+vFMJx1Nc8hjeYuvBk5oWGqW3m3ZUj2FdnQ4H+MMqIbaNATDM5MGPP/5YTz31lE0GmaSP6Q2Uy1T7mEQP1a7eKTIy0iYATfNpM3Hrk08+0ejRo7VgwQK7Fc2bm0mb1iRmSx2AwkeFEFBAxi/ZpaXJ/trRtptefH6Ayx6nXc1ItaleWiu2HtQHH83Ro3f/9skhfm/a2gP2vFm5IgoPdb65JXBuQmjr1q0khAAfZ7YOTZs2zY49N811jaZNm9rkQG6/MXg/U/llqsHMdr/58+fbSc5mW/H48eM1depUjRw5UhUrVpQ3MZPbzO927NgxWzXbqhWV70BhIyEEFICMzGw99cN6e/mB3jEq5sLkg/lk8L4GJXX0/XEKmJ+j4zd0VoSLqpE83cqpSxSeLrWrUjCT3oCCZCbUmK1jMTEF13wegOeZOHFi3oSlevXqadCgQapatarTYcEhpgrMNPnu2rWrrZ6ZOXOm3QJftmzZvO8xX3tDpdjGjRttMsgkw0wSFEDhIyEEFIAJL36lNguXK6dhM93etZbLH29QnyZ6+6FQZWVmafzkZbr9xi4uf0xPczzxlHpM/Fa9snMU3PdOp8MBfsf0AzEnAL4lNTXVNpPPnWJlxrib7WIDBgxQnTp1nA4PbsJsETST4zp27KhDhw7lTYEzVTUvvfSSnV5mkkZmi5mnMgkvo02bNhc05Q6Al/UQ2r9/v26//Xa1aNHCNk17/PHHbYPN8/nuu+/Uo0cP+6nqiBEjbPM1wGmpyalK/nSiBuzaoIeKnFTRENfnWQODghQ45i7d22GQ/r3phO1fhLPNW7hJ8UWKKyk8XFVqRDodDgDAx5k+MKZp8GOPPaZvvvkm7/oyZcrovvvuIxmEP2QSJRUqVMj7es2aNdqxY4dtPP3II4/YCrOTJ0/K05j+WKtWrbKXO3To4HQ4gM9yLCFkSh1vvfVWu1f6yy+/1Lvvvmsb6I0ZM+YPv9/spX3yySd155132hdRU055yy23KDMzs9BjB870ydK9eq9OS20oV0nXPH5toT3u9YNbqmTxUO08clrfr9hXaI/rKWYk5ejB9gO06b6RPjW6FZ4lMTFR69evP6txLADvYo51TSWEaRBsxoqbN++7d++2VULAxWrUqJH+9re/2f5SptpsxowZNjFk3h+ZflSewmyTNNVO1apVOyvhBaBwOfYuyZTG1qxZU08//bQ9N1U/V155Zd4e6nN9+OGHuuyyyzR48GDVrl3blkqaDvwmUQQ4JS0jS89M3aCVURUV9dwohRcvvLLdIiGBuqNrbZNd1fhP59gXVfwv4ZzbULpH8ypOhwOc13vvvafXXntNmzdvdjoUAAXMvC7/+uuveuKJJ/TZZ5/ZBHDJkiV13XXX2Q9AzZYg4GKZD7latmxpE4z/+Mc/VKVKFZtcjIuLs4kh8/7IE47TFi1aZC9THQT4aA+hqKgojR07Nu9r80nJ5MmT1b59+z98QV29erWGDh2ad53pRG8a7y1btsx24wec8P5P27UvMVkVSobp751qFPrj3965hgJGv6zaiYc0u1N1xV7ZqdBjcEfrdh/TnqOnFRIUoK51ymjLhkNOhwScd9LY9u3bmTQGeCHzoaWpgjdMA/nevXurc+fO9EpBgSWGmjRpYj9U37Bhg53WZRItZgtirpSUFIWFhcndmMomU+FkquVM6xAAPt5U+tprr7WfoJhyQbOH+lym/NE8oZ35BJebVEpISLjk8t3c0Z5wX7l/I3f8W506cVpJ972gDtHVdfXVlynIv/DjjCwWoqK1Kilt2VFNnb5C3S77fULVFy189Uu9MX+utrZrq5AAP7ddQ/AMrnweyp0ac+DAAdaoF3Pn1zIUrDPfgJsR2qZnkGmYa5r/mnYHl7oOWEP4M3Xr1rU9qEyiJbdiPDk52VYRmeEFZmpZ7uuNO6whUx3397//XWlpaTZB6g4x4a/xPOQ5LuZv5BYJoUcffdQ+aZltYNdff72mTJmikJCQvNvNk5txbmmt+frPmlD/mS1btuQzahSmtWvXyt3EvTtHNQ7Ha9jpE2oS1i2vMV5hq3pNJ91UtLpO+Ieqw9xfVK3k//7v+Kqkn1erWlqyTodl5a0dd1xD8CyuWEPmtc/YtWuXY88hKDw8D3kvMwXKfLhptu6Y9ga5I8HNCHlTybFp06YCeRzWEC7U1q1bbYLSrEtzqlq1qpo1a8YaQr6xhryLWySEYmJi7Lnpo2BKaefNm2cz2blyk0PnNt8zX19qGaTpQ1SkSJF8xY3CyW6aJ52GDRsqICBA7uJ0WqYGB29T81pNNLB7A7Vu08qxWJo0kT6LX6TJq/Zr+l5/vdu1iXzZiZQMPV2/k2pFH9T4Oy5T7boV3HINwXO48nmocuXKmj59uq2EZY16L3d9LUP+meo+M+3JtDYwzN83MjJSlSpVKtDHYQ3hYpntZKY6zTSdNoN7zAcP5mTG1ffp00fVq1d3JC4zIc20/jh35wfcH89DnsN84HihBTCBTjaVXrp0qfr27Zt3nXliKFGihI4dO3bW95rrTJnt4cOHz7refG32zV4Ks4hZyJ7D3f5e7/60RftSshXUqo2+ebC/AgKcnWL1QO8YmxCaNm+99netpspVfysL9kVzNx9Qil+AUurXUYNG1fJKJt1tDcHzuGINmTeO5kMPUzZ/9OhR21MI3ovnIe9hjkF/+OEH/fLLL7Zvi6kIat26tQYMGGD/X7sKawgXw1QF3XbbbTZxOW3aNNt71Uy23Lhxo55//nlFREQUajzm/4rpq7Vv3z47Lbp58+aF+vgoGDwPub+L+fs4lhDav3+/7rnnHtWqVcueDPPkYJJBuV+f2zRt+fLlNqNtmK1ipoHazTff7Ej88F0nU9L1wvSN9vLjAxooKND5kebtakZpZOJ2tf71Z00KOKq7PnxAvmr6ut+a8/ZtyBtruD/zJtIkgcyntqaxNAkhwP3t2bNHzz33XF6vlqZNm2rgwIG2SS7gjszaHDFihK0KMuvXvFk8MxlkrjNVbblbHV3FDBEy7/cCAwNt3yMAznMsIWRKzcw+VjMe0YzjzMzMtCPozZQx023+9OnTttTJNI42zIjOu+++224vMz9rJpSZA2ezxQwoTJ89+K5uWLhGS1q307VtqspddOrWSJlLF2vf+l06lZqh8FDfm2JiDs5LvfuZehcpqT412zgdDnBBevbsabdAV6tWzelQAPzJ64v5gNKoWLGiHYRiJoeZHkGmCgPwBCYJZN5T5a5lw1QPPfvss3Z8vdm50ahRo7NuL0gLFy605+Y9YNGiRV3yGAA8JCFknmjeeOMN/etf/9JNN91kX2h79Oihhx9+2N7+4Ycf2ts3b95sv8697fXXX1dSUpItMXznnXcoV0OhSjqerMBpc9QiLVVNq4Yq0OGtYmcafEsfdV17VAszQ1Vx4Q7d1aOOfM2v89ao6Z7tqhcQqA51o50OB7gglMwD7ssMNomLi7Nbw8wQFNPCwBzDjho1yi3HeQMX4sxKoL1799pJX6Z6Z9y4cTbhaXZkmKRNQSaGzP8l0y7E6NChQ4HdLwAPbipdunRpvfzyy39428iRI+3pTMOHD7cnwClv/LRDb7XsqSuP7da/77lc7iQwKEjXDO2gheOX6ZW4zbq9ay23SlgVhnmHUrWgTnM1KRWiouEcqAMALo2p2ps/f75tyJs70dYkhXIr00kGwVuY3lf16tWziU8z2Mds6XrvvffsmHqTGGrVqlWBfABvWn+YfnmmZ6wZ7gPAPfjWu0UgH5KS0/Xyj5sUXzRCbZ++TUHB7rcl64Z21RQZHqL9B4/ru2kr5Wt+2H1K06rWU8V/DHU6FOCCmQpZUw07d+7cvCboAJxh/g8uWLBAo0eP1rfffmuTQeaN8d///nd17NjR6fAAlzDbH4cMGWJ3bvTv399OYj548KC+++67Antdyt0uZtqDuLpXEQAPGzsPeIKxMzYoKTlD9ctH6MoWBTtOtqAUCQnUfRUDVOK/3yt+1Wxl9/vQZfvA3U3i6XT9vP2IvdyHhtLwMGY7dEZGhv2U1rz5BFD4TPXCM888o0OHDtmvS5Ysad8ct23blhYF8Ammr4+ZlGdadZgKOVMJFxwcnPfhxZIlS2yv19zrLtTJkyeVkJBgj0nN/ycA7oOEEHABDu47orIPPqOrylfXFTfdqgA3TrJce2UbzX79faWfOq15S7apWzvfKMv98Yelijl8QH71aqpqZLjT4QAXzBwgmyEJZsqLmTRGQghwRkhIiCpXrqyUlBS7VaZTp062twrga0wiqHfv3mddt3r1an3yySf6/vvvFRsba7dPmp5aF1qB9MILL2jnzp2FPuoewJ8jIQRcgAkvfa1yqclqlxSvy1q59zSRClXKau1tN+s/W0+rz7J4n0kI7ft8qh5dtVrxxdIkDXQ6HOCi5CaEzLSXJk2aOB0O4BPMVs3//ve/uvHGGxUZGWmvu+qqq2xi6ELf6AK+wmzzMv1fjx49apNCM2fOVPfu3dW1a1e7xeyvmKqiOnV8b+AJ4O7ct8wBcBNHTqbp8YxIvdyksyrec4MCAt2/bPyWm7orJ8BfU9cc0IYDx+XtsrNztCk5W4nBYYrpzbh5eGZCyDAVQgBcy1QpjB07Vv/5z3+0detWTZs2Le82U71AMgj4PfNhxdNPP60bbrjBNoY+ffq0pkyZYqdAT5o0yW57/iPm+3Jycgo9XgAXhgoh4C/8e+ZGnUrPUlbLxrrshu7yBLXKFtPgJhU1ccVejftikV4f1VfebOWeRL1frYmK1Wmuw1cwyhSeh4QQ4HqmAm/y5MlatWqV/dr0BTKNovv29e7XSKCgmP8z7dq1U5s2bezUMJNMNf+v1q9fr0GDBv3hz7zzzjtKSkrS9ddfr5o1axZ6zAD+HAkh4E/EHzyuN2ZvspefGtTQo6Yi3Nu+spq99a6qxCVq18AmqlqrvLzVtLUH7HmP+uUU4obT34ALTQiZppumcaevNIMHCsuECRPs9DBTqWBey80bWtMwOnerGIALZ16jWrZsqebNm2vNmjW251DuMbLpwWW2YprG1GZCmdmaaW4zTdoBuB8SQsCf+GrUm3pi2Vot6dJN/Rp5VkKlQ5MqWlokWDmn/PTl+Hl66Ilr5K3mLN1uz/s29Ky/EZArKipKgYGBtuTe9GcwXwMoOOHh4TYZ1KxZMw0cODAvCQsgf4mhc/vemelks2fP1ty5cxUdHW2vMxM0Tf8hAO6HhBBwHvsPn1DwLysUnZqsG9pU8ajqoFxVHr1FI77foIBjwbozNUPhod5XPXNgz2H9/eN31atYCcU+efZEDMCTDqpvuukm27+kRIkSTocDeLRTp05pxowZatiwYV4TWzMVqXHjxqpSpYrT4QFerUaNGvb/nakMMtvJjA4d2M4PuCsSQsB5vDR7q95tN0DDs4/qnet7yBMNHthSD/96WFsPntSHC3forh7eN91h7g+/yE85CgvyV5UKlCPDc5nSewCXLjU1VbNmzVJcXJy9vG3bNj344IP2Ax2zpYVkEOB6tWrV0r333mv//5n/j0FBQWrUqJHTYQE4DxJCwB/Yn5ist+dtU1pQsIbee43H9vMI8PfXvbF19I/Pl+mDKct1W8fqCg7xriqh6UGlNKXrlbqveVmnQwEAOCA9Pd1uUzFVQaY6yKhUqZL69evndGiAzzINpGkiDbg/EkLAH/j3V78oLTNbHWtFqXuMZycabmhXTSuffE8dt6/X99VCdPU9l8tbZGVna8b6eJ0MDlXXPi2cDgfIF/NGduXKlbaywWxvAfDXzKSjr7/+2k4xMsqWLWunHTVt2tRjP8wBAKCwkBACzrF13S41fe5l3R1VUQNHPuqRvYPOFBYcqIZ1yilw2zqtnPGrht59mcf/Trl+3XlMR0+lKyIsSG1rMCkGnp8Q+vzzzxUSEmKns3jL/1PAlcwUI5MMKlWqlJ0aZqaHmdHYAADgr5EQAs4x/p3pqp2drYpBOerauJK8wWWPXqvux0O0qWhJ9dl8SF3qenbVU64lr36lO9ZsUFZsBwUG8EkwPJuZLGbeyKalpSkxMdG+wQXwP2ZKmBlxnZmZmddzq0WLFvZrMwLb9CoBAAAXjoQQcIadh0/p2fSSim7XX5+MaC1vUb5SlLr2a6lN87bppZmbvCYhpJ9+VYcjh5RRpL3TkQD5ZpJBZruLmcpiTiSEgP8xE4smTpyonTt3qnjx4naCWHBwsN0W1q5dO6fDAwDAI/GROnCGZ6auV2ZWjmJax6hbb++a+HNPbF2ZHSizVu3V6vV75ekOHk/RO9WaaHK1+up0dRenwwEKRLly5ex5fHy806EAbsEkgMaOHav//Oc/9rJJApkEUHZ2ttOhAQDg8agQAv7fxvV79c38TVJAsJ4a1FDeplbZYrqjyGnV/2Ga4o5uUOMp/5Inm7EuXptKlVXRpjGqUqO80+EABYKEEPCbgwcP6vvvv9eqVavyKug6deqkPn36KCIiwunwAADwCiSEgP839cE39cr6jVrRu7faeGmD4su7N1DC998rbfN27T98QhWiistTTVv72xvmPg1/ewMNeAMSQsBvzLQ9kwwyzdXbtm1rR8hHRnrnazMAAE4hIQSY6qC9x5S5Y6+KZmZo2EDvHV/eZWAbDZ82WF+lF9XBn3bqX5c1lidKT8tQzqSZqly8rPo0ICEE70wImQa6TBqDrzCN1Ldv326bRBtVqlTRlVdeqQYNGig6Otrp8AAA8EokhADTO2jGJn3Rtp9uKp2t9/u0lDe78ta+mvDmTxo3b6se7ltPxUI9byrLT1OX6rL1y9QzOEStqtzidDhAgTFNpe+99968xBDg7U6dOqUZM2Zo3rx5ti9QtWrVVLp0aXtbjx49nA4PAACvRkIIPm/DgeP6Yulu5fj56Y47+8rbDWxcwfYT2ppwQh9NW627LvO8iqifdx3T8agKiqwYpUDGDMOLBAYGqk6dOk6HAbhcSkqK4uLi7MlsDzNq1qyptLQ0p0MDAMBnkBCCz3v9rRlSdo4ua15JTSt7/5hnf38/3dckUglPfq2ghZOU3m+8gkM8K6ny7clArW7WTZ//ra3ToQAALkJ6erqtBjJVQadPn7bXVapUSYMHD1b9+vXZJgkAQCEiIQSf9uu8Ner8ySeqUqyk+jz8inzFNb0a6ouHTykkI13ff7tYVw/vLE+xPzFZq/cmybxn6FWfbTXwPnv27NGyZcvstpnOnT3n/yZwIUw10A8//GArgcwWyUGDBqlp06by9/d3OjQAAHwOCSH4tM+/W6LGgUEKrBitxjXLyFeEFy+qpNuu17Orj6nG9hQN9aDmtTPnb1BIZoaa1I5WZLEQp8MBClxCQoJmzpxpt8+QEIKnM32BNm3apHr16tmvixcvbpNAoaGhatOmjR0nDwAAnEFCCD5r5Z5jei2lmMI7D9HCu33vTdeIW/tozIOTtWJPouZtPqSudcvKExx7Y7ze27JVRypc6XQogEswaQzewKzd1atXa/LkyTpw4IBtlp7bH6t79+5OhwcAAEw7EacDAJzyxJR19nxg+9pq3KSafI2prhnRvrq9/OrEFfIEaRmZyok/rKCcbLXs+NunzYC3MdtoTBLI9Fc5efKk0+EAF23jxo16/vnnNW7cOJsMKlKkiI4fP+50WAAA4BxUCMEnLZ6/VisWrpd/sZJ6fEAD+aq7u9VS5uufqMOPO7WsfUW16NRQ7mzx9qN6oE1fNVSKVvZo5nQ4gEsEBwcrMjJShw8ftlVCZosN4Al27NihSZMmafPmzXlr2VQDxcbGqmjRok6HBwAAzkFCCD5p8eh39MLOHdrQr6/qRPvum61a5SJUKzzQVtxM/3CG2yeEpq89INNNumnbegoIpO8EvHvbWG5CiDH08JReQR988IGOHDmiwMBAderUSX369CGhCQCAGyMhBJ/z86YE7U/OVLSfn67+Wy/5ulYP36ibxs3XnpCyujkpWeVLFJG7mrY23p73bVje6VAAlyeE1qxZY7fbAO7KJC1LlSplG0ObKWGmWbTZLta/f387JQ8AALg3egjB5zwxfaPGNumsxaPuVoMWteTrOnVvrHIt6ykjK1uvz94id7Vl7S6N+PpTDd+8XLH1op0OByiUxtLmDTfgbhITE/X555/r8ccf16JFi/Kub9WqlW644QaSQQAAeAgqhOBTFm49rB/XJygwwE/3X9PW6XDcxn0969p/m/dmb9aDPWqpRIT79XpY+PVcVTh9Qn7Fk1QqnHHz8G5NmjTRc889p5IlSzodCpDHNDmfMWOG5s2bp8zMTHvdrl277PYwAADgeUgIwad8/twXCsuO0HWdYlQtKtzpcNzGgMYVdNXJfeqyfIm+LpqkW166Ve5makQF7WvcSVd3qOl0KIDLhYWF2RPgDlJSUjRr1izFxcUpLS3NXlezZk0NHjxYtWpRaQsAgKciIQSfMfOr+eoya4aahISp17MDnA7Hrfj7+6l33TIKW5yi3XFLlJH5dwUFus+O0rSMLM3YkaTk6Cp655ruTocDAD7l008/1YoVK+zlypUr215B9evXl5+fn9OhAQCAfCAhBJ+Qk5OjjxduV4uixeXXsK6qVSjldEhu58pRV2jo2gTNLFFBlZfv0bDWVeUuFmw5pOT0LJWLCFPjSiWcDgcoFEuWLNHq1avVokULNW/e3Olw4EPMdjBzCg0NtV/37NnTTrwbOHCgmjZtSiIIAAAv4T4lAIALzd54UF+mhOmxzoN0+SsjnQ7HLYUXL6o2I/opyz9AL83cZJNo7mLpR1PVZd9WDapWnDci8Bn79u2zVRnbtm1zOhT40Oh4k4gcM2aMpkyZknd9tWrVbAPpZs2a8RwMAIAXISEEr2cSG49PXmsv39KltqpUZPrJ+fyjSy2FBQdo5Z5EzVm5R+6i+PQ5unX9EnXXSadDAQp90pipzABc/Tq5atUqPf300/roo4905MgR+3Vu42jDjJUHAADehS1j8HpTv1qgjMUrFFqhqh7qU8/pcNxaZLEQjawWprBPv9WqzQvV/ac3nQ5J2w4kaX5UZTX2D9LtQ7s4HQ5QaEgIoTASQZs2bdKkSZPstDCjSJEi6tWrl7p27arAQA4TAQDwZrzSw+vL37e9+LFGHT6ovRVCVa4EU3v+yvXd6mr1a0eUeeKoVq7eqaaNqzkaz4xNh/RdzcY62i9Wo6MiHI0FcCIhlJSUpOTkZPtGHShIc+bM0ddff20vh4SEqHv37oqNjWWtAQDgI6j/hVebumKvfi4WpeMhoRr24FCnw/EI9ZvX0rKBA/TPTkP02vKDToejaWsO2PO+Dcs7HQpQqMzY+ZIlS9rLVAmhoGRlZeVdNg3LTfLHJIKeeeYZOz2MZBAAAL6DhBC8uhR+zLSN+rpWU+165hFVrBbtdEgeY+ioK5QUUkTjf9mt/YnJjsVx8vhp7V6yTn452SSE4JPYNoaCcvDgQb3//vsaN25c3nURERF6/vnnddVVV6l48eKOxgcAAAofW8bgtSav2m+bI4eHBGpUv4ZOh+NRWlePVIdaUVq49bDemLFezw1r6Ugcc75bqNGLpml/yUjVK3+NIzEATieEtmzZotOnTzsdCjzUsWPHNHXqVC1evNhuozYSEhIUHR2dt1UMAAD4JhJC8EpZmVma+9jbKle8om7q1842S8bFua9jVdWbOFnV5n2jxNiPVDKy8Pv3rFm7W+UDg+RXqyqjjuGTBg4cqCuuuIIJT7hoJ0+e1PTp0zV//vy8aWENGza028Jyk0EAAMC3kRCCV/rurSlqu2aFGgWt08DXqSy5FP1bVdOeU0dVPC1VX735X9025tpC3/L3cWg57e56lb4b0aJQHxtwF6GhoU6HAA+0c+dOvfLKK0pLS7Nf16pVS4MHD1bNmjWdDg0AALgREkLwOlnZ2Rq35aRaRFVUlRZ1FRVJX4RLERAYoKK3D9fjs7cp9XQx3ZyZraDAwqtS2HLwpHYcPqXg4EB1b1m90B4XADxdxYoVFR4errJly2rIkCGKiYmhyhIAAPwOCSF4nW+W7dW81CCt6tBTO/7V3+lwPNo1f++th7dO1qFjyfpm+R5d07pqoT32tFX77Hnn2mUUHhpUaI8LuJsvv/xS27Zt03XXXacqVao4HQ7cjNkOtmjRIi1btkx33323AgICFBQUpPvuu89OqSMRBAAAzoemBPC66qAnpqy1l0f1rKuS4Wy3yI/QoACN7F7bXv7PtPV5DUkLQ+azb2rMLzM1sEh6oT0m4I4OHDigvXv3av/+/U6HAjdino+XLFmiMWPGaMKECbb5+K+//pp3e6lSpUgGAQCAP0WFELzKl69OUp3Fy3UipqHu6l7H6XC8wj+61NIvb36n3vPWamadMPW5ppvLH/N44ilF79mtoOxsxTShIgK+zUwa27x5M6PnkddfbeXKlZoyZUremjAj4/v166cWLei3BgAALhwJIXiN9LQMJb33jYadPK5ejSqoeBjbjApC6fAQdS0ulU5L1sqPphZKQmj+7iTd22GQOmck6etWv1UoAb6qfPny9pyEEJKTkzV27Fjt3r3bfl2kSBH17t1bXbt2VXBwsNPhAQAAD0NCCF5jwtLd+rJqA/XZv1W3jy7ciVjervdD1+qORwK0sFxVDdiXpIYVS7j08aatjdeRsHCV69eUcdvweaZCyCAhhLCwMIWEhNhTjx497MkkhQAAAC4FCSF4hYzMbD01dYN2lq+uQf+8TCVKM1msINVrWkORA7soc/levfzjJn18UxuXboeYtvaAvdynwW+VEYAvy00IHT16VOnp6VSC+BDTO2r69Om65ppr7NQw0xPINBcPDQ2128QAAADyg4/e4RU+WbxTO4+cVtniobq9Sy2nw/FK9/Wqa88n/LJb+w6fdNnjrFi8UbEL56pFYry61CnjsscBPEWxYsVsMsAkSxMSEpwOB4Xg4MGDev/99/XMM89o+fLlmjFjRt5tZcqUIRkEAAAKBBVC8Hipyana/cDLalq2mq6/qr+KhLCsXaF19UhdGZ6umDlz9d19O/XPTx5yyeP8+u08xe7dopjATP6WwP+rUKGCjh8/rtTUVKdDgQsdO3ZMU6dO1eLFi/OmOrZs2VIdO3Z0OjQAAOCFeLcFjzf+uS9Uf/8uVTx6SMPb3uF0OF5tWL0opX13SCcWnlDS8WSViCj43hVz/YqpSKU6atezZYHfN+Cp7rnnHkaIezFT/fX9999rzpw5yszMtNc1bNhQgwYNUqVKlZwODwAAeCkSQvBoqRlZejEpVC2q1lOXrg0VXozmmq408KZeunXqMn1frIJO/bJH9/b8bRtZQTmRkqHvTwcps14rjb51QIHeN+DJSAZ5/9/XVH+ZZFDt2rU1ePBg1ahRw+mwAACAlyMhBI/23oLt2pIiJbfpqA9G93c6HK8XEBigNqOG64NPl2ps3GaN7FZbQYEF14osbkOCMrNyVLtsMVWPCi+w+wW8qZKE5JDnM83BTTVQgwYNVLFiRXtdv3791LRpU8XExPA3BgAAhYKm0vBYKemZ+te09fbyo/3qKTQowOmQfMK1bava5t17jyXr66W7CvS+f568SGWST6pvQ6aLAWcy1SPPPfec7r33XmVkZDgdDi6RqQCaO3euHn30UU2cOFGTJ0/Ou61EiRKqV68eySAAAFBoqBCCx/p09EcavHC1ljRvrZs6VHc6HJ9hEm93N4/Wtje+VMLIWcr+9X35++c/t2waqNb84lu9mpqs4gNqF0isgLcICQnRoUOHlJycbCdQ5VaVwDOY57ctW7bou+++09GjR+11kZGRat68OVVfAADAMSSE4JFOnEiR33cz1DktRa37tlZwINVBhemGTjX146M7FZKVqZnfL1afKzrk+z5Xrt+nfWHFFJSZoYEDWhdInIC3MAmDcuXKafv27YqPjych5EHWrl2rb7/9VgkJCfbriIgIuz2sffv2CgzkMAwAADiHIxF4pHcW79I7Tbpo8OEdevaBoU6H43PKVYrSnsH9NH5vqqruSVefArjPmXtO6plWPTW4QVndFB5WAPcIeJczE0LwHKayyySDTJVXnz591L17dwUHBzsdFgAAAAkheJ6TqRl6YcYGHS0RqQb39FNIGAfWThj+6HA98cgP2rzhoNbsTVSjSiXzdX/T1/32JrdXE0YsA+dLCBkkhNzbtm3blJWVpTp16tivO3XqpLS0NJUsWVKtWrVSQAAVrQAAwD3QVBoe543Zm3X0VLpqlS2ma9tUdTocn2WmgF3e/LdtKy/P3Jiv+zqaeFq/bDlkL/ehoTTwh0gIubc9e/bo9ddf10svvaQJEybYpJARFBSkXr16URUEAADcDhVC8ChHDx9X2H3Pql+Fmhp2ww0KDCCn6aT7Yuvo9Lcz1eynSdrevpJqxFxadc+sj2fq7dlfaXVMA1UpPazA4wS8KSFkmkqbaVX0n3EPZjvYlClTtHz5cvu1abJfs2ZNO1o+LIztrwAAwH1xNAmPMuHZ8Yo+dVy9EnZoaJsqTofj81rViFL3kwkqm3xSU176Qvd8+MAl3c/uBStVJSvDVh0B+GNmy5FpJm3OU1JSVKxYMadD8mnHjh3TDz/8oMWLF9tJYUbLli01YMAAlS1b1unwAAAA/hIJIXiMpOR0jcmIVOP6bXXroKYKDApyOiSYrWN3DtNr4xdqdWhl3ZySoeJhF/d3yc7O0StVmqhoYFm9PaKzy+IEvGHS2OjRo50OA//vwIEDWrRokb3cqFEjDRw4UJUq0QMNAAB4DhJC8BivzNqsxLQsHW7VXFfdWhBzrVAQBg7vqoc3p+hYwgm9t2CbRvWKuaifX7HnmA6eSlexsmXVuWM9l8UJAPmRnJysvXv35jWLrl+/vnr06KFmzZqpRo0aTocHAABw0WjAAo9wJPGUXvnxt8bFTw5qKH9/P6dDwv8zf4tRPevay2Pjtig947dGqhdq2trfGuTG1otWcCDTd4C/YrYnpaamOh2GzzATwmbMmKFHH31U48aN0+nTp/Mqtq688kqSQQAAwGOREIJH+PL+t3Xf/B/UNzhFQ5r+NtkK7uPatlXVIfWobpw5Sd/859uL+tn01z7RFdtWq18l+gcBf2X79u0aNWqUXnjhBadD8XoZGRmaO3euHnvsMU2cONFWCJn+TUlJSU6HBgAAUCDYMga3l3giTWELflHZ9FQ1aFiG6iA3FBoUoKsjslU68aDiv5yunAeusp+e/5X9uw+q3qb1aiCpde07CiVWwJNFRETYChVTIWTGmgcEUFVX0LKzs7VkyRLbMPro0aP2usjISNssulWrVnaKGAAAgDcgIQS399n6E5rcrr+GJcfrzVv7Oh0OzuOKh6/RA+v36YcKtdVgQ4Ji6/82IvvPzNuRqHcbtFMzvxRdXYdmrMBfKVWqlIKDg+1I88OHDys6OtrpkLyOSQJ99tlnNjFkEnD9+vVT+/btFRjIIRMAAPAuHN3ArR08kaqv1yUpNSRM/e+/kU9m3VjZipGKuGWojs3Zon//uOmCEkLTth3Tggo11L4vzaSBC2GeA00SaM+ePYqPjychVEA9mfbv36+KFX/bjhwVFWWbRRcrVkxdunSxCTgAAABvxLtruLX/TFql1MwctaxaSn0blnc6HPyFe2LryN/PTz+uT9CavYl/+r1Z2dmase63htL8bYELV778b/9fTEII+bNt2zb9+9//1jPPPGOTQrkuv/xy9ezZk2QQAADwalQIwW3t2npA9Z96UX+LrqLBt917QT1p4KxqUeG6rmZxBUz+UTNGrlejSc+c93sXLViv2tu3aE/FympTvXShxgl4snLlfqu+IyF06UyF1eTJk7Vu3Tr7tdkOZq6rUKGC06EBAAAUGhJCcFsTXpuk6pkZqpN2Uj0bc5DuKf7WOEr73tiizH1+2rF5v6rX+eO/3erxM/XP1T9pX3qMAgOGF3qcgKciIXTpTF+g8ePHa+HChXlb8Dp06KC+ffvaCWIAAAC+hIQQ3NK+Y8l6MqO0qrXqpXs7R9M7yIN06N1SDzRvpR/8S6jf6oN66TwJoTUnslWnaITKdmle6DECnsxUscTExKhy5cpOh+JxTEWQSQaZitOWLVvayWFlypRxOiwAAABHkBCCW/rXtPVKz8xWmVb11axdCafDwUXq9OTf9dLrC7RvwXY91r+BIoqc3Ycj4XiK3i9WSepQSfG3D3IsTsATmRHod999t9NheKRDhw7Z7WFdu3bVFVdc4XQ4AAAAjiIhBLezbUeCPpm3xfY8f2JgffklH3A6JFwk0yQ6plxxbYw/ofd+2q77esWcdXtuM+kWVUspukQRh6IE4GvM9LBWrVpRdQoAAMCUMbijyaPe0L/nfa8RQSfVuTal/J7I399Po7rUUO/dG5X+0EtKTUk76/Y5izabWc9MFwPyITk5WUlJSU6H4XGKFy+u8PBwp8MAAABwHAkhuJVt+xMVsGGrSqalaHhsfafDQT4Ma11Vg3etV/UjCfr29Ul516enZajLuHf02oKJ6lGaIkXgUsyaNUv33HOPJk6c6HQoHiExMdFOEQMAAMD/8G4MbuVfP27Wp+0HaERYst67rL2ysrKcDgmXqEh4qNKv7K/3l+9R4okiGp6TYxu5Lpy3VoHZWQrL9lPb1jWdDhPw2D5CBpPGLjyBNnv2bPXu3VtDhgxxOhwAAAC3QIUQ3MbWgyf16c+7lOUfoJvvvczpcFAAhj9yjZbUrKcVCacUtyHBXjfrlL/+3u0qrbjxOgUGBTkdIuDRo+cTEhLsKHWc3+nTp/PGzNepU8fpcAAAANwGCSG4jVc+nKOsrGzbV6ZNjd8+/YZnKxUeops7VLeXX5q5yZ5PWxuv9IBAdejZzOHoAM8VFRWlgIAApaWl2e1QOL+ffvrJ/jtVqFBBMTFnN7gHAADwZSSE4BZW/bxRHd56V4//+qPG9K7tdDgoQPfE1lHjo/Fq+cln+u+kX7RmX5L8/KRe9X+rcABw8UwyqGzZsvYy28bOLzMzU3PmzLGXY2Nj7bZVAAAA/IaEENzChPELlOnvp2Kli6tVHRIF3qRqZLiuTT6ghscSdHrkk3pg+WwNzz6m0uEhTocGeMW2MRJC5/frr7/q+PHjKlGihFq2bOl0OAAAAG6FhBAct37/cf07rbju6ThYnf51h9PhwAXa3DtM06rU1Y7ipdT0yAG1Cc5wOiTAaxJCBw4ccDoUt5STk6Mff/zRXu7WrZsCA5mjAQAAcCZHj46OHDmiF154QYsWLbLTpMynd4888ojKly//u+9NTk5Ws2bN7AHemb766is1adKkEKNGQXvyv2tl/qxd29dVq7Y0/PRGHXo11+g1SZqzfIuaHt6vR4Z2dzokwOPVrl1bnTt3plHyeZjeSubYISQkRB07dnQ6HAAAALfjaELorrvusgmed999135y9/zzz+vWW2/V999/r6Bzpg9t27bNfo8ZG+vv/7/CJlMGDs+17JfNmvPTJvkVKaonBjZwOhy40P29YtRv8yGpUjm17sTfGsgvkwgiGXR+pUqV0rPPPqt9+/apSJEiTocDAADgdhxLCO3YsUPLly/XtGnTVKNGDXudSQiZTzs3bNigxo0bn/X9W7duVaVKlfKaaMI7zHtknF7Zuk1r+/dVgwok97xZ30bl9c1t7VWjTLj8/WnsCsD1zAdJVatWdToMAAAAt+RYD6HIyEhbGVStWrW863Knf5w4ceJ3328SQtWr/za+Gt5h2daDSjxyQgE52Ro2vIvT4aAQXNGisppWLuV0GIDXMOPUd+3apaSkJKdDcSs7d+60W9EBAADghgmh4sWL22qgM7d/ffzxxypatKiaNm36hwkhMynkmmuuUfv27XX99ddr9erVhRw1CtJTMzbrXy1jteAft6lp+3pOhwMAHuejjz7Sc889p2XLljkdilv1DnrxxRc1evRonT592ulwAAAA3JbbjNyYNGmSPbA1B3Dh4eG/u3379u0qVqyYbTptkkZffPGFrrvuOk2ePPmsKqMLZT455NND5/y665j+u3q//P389M8bO533b5F7PX8rXCrWELx5DUVHR+dNGnPH+JwQFxen7OxslS5dWqGhoW7x7+LOawiegTWE/GINIb9YQ57jYv5Gfjnnju1ywIQJE/T0009rxIgReuCBB/7we1JSUux5WFiYPTdhDxgwwE4OefDBBy/4sczEkY0bNxZQ5LhUY9/8SV8qUr1jSuqJbr+9oQEAXBwzcGHOnDm2v96gQYPk69LT0zV+/HhlZGSod+/eqly5stMhAQAAOCImJuYvB2s4XiH0xhtv6PXXX9edd96pkSNHnvf7chNBZ/YbMs2oExISLnlcL1NHnDFvyhL1m/WjWoaFq+eYN1WrYqk/zW6uXbtWDRs2VEBAQKHGCe/AGoI3ryHTj88khE6ePGmHMeT24vNVZhKpSQaZyqn+/fuftS3dSe68huAZWEPIL9YQ8os15DlMEcyWLVsu6HsdTQi9//77Nhn00EMP2eqgP+sH0LNnTzuFrHv37nkLctOmTbZK6FKYRcxCdsb42RvUPKSIMurVUt0qURf0M/y9kF+sIXjjGipfvrxNApkXftMvJyIiQr7KHBeY5JgRGxuroKAguRt3XEPwLKwh5BdrCPnFGnJ/F/P3cSwhZHoCvfLKKxo6dKj9FO/w4cN5t5kDWvMJnznAjYqKUsmSJdWsWTPbJNI0ozZff/DBB3aqyvDhw536FXAJFmw5pI9Sw/VllyFa8/BvyT0AwKUxSQ/zOnno0CHFx8f7dEJo+fLl9gMkc5zQunVrp8MBAABwe44lhGbNmqXMzEx99dVX9nSmV1991U4VM9vJNm/ebK976aWX9O9//1v33HOPLY03k8g+++wzmxyC5xgzea09v75zbdWsQe8gAMivcuXK5SWE6tatK1+Ve7zQtWtXt6wOAgAAcDeOJYRuu+02ezof0wzyzJ5C5hO/p556yp7gmX6cvEQHf16r4DLl9EhfxswDQEFo06aNatWqZXvj+TIzebRdu3Z5k9cAAAAg924qDd9gRgCve/YDPR6/X9sH9FXl0kWdDgkAvILZUo3fmGETAAAAuDDuMX4DXi9u9T6tDyyq5MAgDfvnYKfDAQB4CdNP8NSpU06HAQAA4HFICMHlcnJyNGb6Jn1Yr7XWj3lA1etUdDokAPAq+/fv16+//qqUlBT5msmTJ+vhhx/WokWLnA4FAADAo5AQgsvNWBevJTuOKiw4QPcPYWsDABS0t956S++//7727t0rX3L8+HH98ssvSk9PV/ny5Z0OBwAAwKOQEILLewf998mPVDI1Wbd3qaXoiDCnQwIAr5w0ZphJY75k7ty5ysrKUs2aNVWtWjWnwwEAAPAoJITgUpPfn6FOvyzSC4t/0KiuNPsEAFfwxYRQamqq5s+fby/HxsY6HQ4AAIDHYcoYXNo76L3VB9WqRBmVbFZX5aKKOx0SAHglX0wILV68WMnJySpTpowaNWrkdDgAAAAeh4QQXGbSyn2anhaqnzr21Y5n+zkdDgB4LV9LCJltYrNnz7aXe/ToIX9/Cp4BAAAuFkdQcIns7ByNmbzWXr67Z11FlSzqdEgA4PUJIdNk+fTp0/J2e/bsUWJiosLDw9W2bVunwwEAAPBIJITgEt++N01llvyqkiH+uje2rtPhAIBXCw0NVcmSJe3lhIQEeTvTQPrZZ5/VzTffrODgYKfDAQAA8EhsGUOBy8zI0ME3JuhvSYk6VLu0ShblYB0AXO3yyy9XUFCQoqOj5QtMAiw3CQYAAICLR0IIBe6bpXs0NbqGemVt03WPDXc6HADwCS1btpQvOHbsmEqVKuV0GAAAAB6PLWMoUJlZ2Xpi2kbNrBKj5BceUWRZPr0FABQMsx3ukUce0euvv24bSwMAAODSkRBCgfpi6W5tOXhSpYoG667YOk6HAwA+Iz09XatWrcqbvuWN4uLilJOTo4CAAHsCAADApWPLGApMemq61j70mmpFVdPNl/dQsdAgp0MCAJ+RkZGhcePG2cvt2rVTWFiYvMmJEyf0888/28s9e/Z0OhwAAACPR4UQCswXL32tZjs26/5V83RbuypOhwMAPqVo0aKKiIjw2klj8+bNU2Zmpp0wVqNGDafDAQAA8HgkhFAg0jOzNPagn+ZUqKmsIb0UEVHU6ZAAwOeUK1fOnsfHx8vbtsPNnz/fXo6NjZWfn5/TIQEAAHg8EkIoEB8v2qlVqf6a0q6rrn/mZqfDAQCf5K0JIbNV7NSpU4qMjFTTpk2dDgcAAMArkBBCvqVlZOmZqevt5Yf71lOREFpTAYCTCaEDBw7ImyxdutSe9+jRQ/7+HLoAAAAUBN65I98+e3a8Oi9eraVNmuuWTvR1AACneGuF0N13322TQi1atHA6FAAAAK9BQgj5cvpUqjIn/Ff9Uk6rc6d6CgtmSQGAU8qXL2/Pjx49qrS0NIWEhMgbBAUFqX379k6HAQAA4FV49458+eDnXfqgXhv1P7hdjz4y3OlwAMCnhYeH69Zbb1V0dLRNoni606dPKywsjG1iAAAALkBCCJcsOS1Tz83YqITI8rr9nkEqEh7qdEgA4POaNWsmb/H5559r3759uvbaa1WnTh2nwwEAAPAqJIRwyd6ev00Jx1NVpXRRjWhfzelwAABe5PDhw1q5cqVycnJUrFgxp8MBAADwOiSEcEmOJ55S2v3Pq3P5Grru2qEKDgxwOiQAgKQjR45oxYoVCgwMVLdu3eSp4uLibDKoQYMGeb2RAAAAUHDYlI9LMuHpz1Xt2CFduWu9rm1d1elwAABnJIS+++47zZ07V57q1KlTWrRokb3cs2dPp8MBAADwSlQI4aKdTM3QU+kl1bxOcw3t00QhYcFOhwQAOGf0vNlylZ6eruBgz3uOnj9/vjIyMlS5cmXVrl3b6XAAAAC8EhVCuGivz96ihNRsbWndWsPuHuJ0OACAMxQvXlxFihSx260OHjwoT2MSQbnVTbGxsfLz83M6JAAAAK9EQggXJelUqv49c5O9PGZAAwUGsIQAwJ2YBEpuz534+Hh5mjVr1ujkyZMqVaqUmjdv7nQ4AAAAXostY7gon98/Tn9fsl5L23bQ1a0qOx0OAOA828a2bdvmkQmhZs2aadSoUUpOTlZAAAMLAAAAXIWEEC7Y0cTTCv1xgZqmp6lZreIK8Kc6CADcuY+QJyaETIUTfYMAAABcj3f0uGCvzt+ux1r11qJGzXTFyEFOhwMA8LKEUFpamtMhAAAA+AwqhHBBjp5K09i4zTpZtLi63nerAgIp4wcAd1W9enU9+uijKlu2rDzFrl279Morr6hz584aMmQIzaQBAABcjIQQLsh/pq3TydRMNalUQoObVnQ6HADAnwgNDbUj2z1JXFycUlNTdfz4cZJBAAAAhYAtY/hL+3cfVJWHn9WwzSv0RN+68vfnQB0AUHCOHDmi5cuX28s9evRwOhwAAACfQIUQ/tKEl75RpfRUtTp1WAOaV3E6HADABdi4caNWrFhht4+1bdtW7mzOnDnKzs5WTEyMKlWq5HQ4AAAAPoEKIfyphOMpGpMVpRebdlX1+2+UP5PFAMAj7Nu3TwsWLNDatWvlzk6fPq2FCxfayz179nQ6HAAAAJ/Bu3v8qRemb1RKRraC2zTWgGGdnQ4HAOBlk8Z++uknO12sQoUKtkIIAAAAhYOEEM5rz/6jemfOZnv5qUENafIJAB6YEDp48KCysrLkjsw2sfnz59vLsbGxvM4AAAAUIhJCOK9v731Dz86fpKtDTiu2XrTT4QAALkLJkiUVEhJik0GHDx+WOzLbkO+77z716dNHLVu2dDocAAAAn0JCCH9od3yiQlesVbnkk7qhfQ0+tQUAD2OSLdHR0W6/bax06dIaPHiwAgOZcwEAAFCYSAjhDz0ft02j2g/UnB691fNqegcBgCdy5z5CmZmZTocAAADg0/g4Dr+z68gpfbBwhzICgzT8/quZLAYAHp4QSkpKkrt58803bVXQFVdcobJlyzodDgAAgM8hIYTf+ff4n5WRla3uMWXVuU4Zp8MBAFyiTp06qXPnzgoLC5M72bt3rzZs2GA/cLj66qudDgcAAMAnkRDCWdYv36o2L49VaGQFDb5njNPhAADyoUiRInJHcXFx9rx58+a2hxAAAAAKH3uBcJYvPpwl/xwpumiQOtSv4HQ4AAAvk5iYqKVLl+aNmgcAAIAzqBBCnq0HT+q59FIq22GAvvp7W6fDAQAUgB9//NFuz+rVq5diYmKcDkdz5sxRdna2ateurSpVqjgdDgAAgM+iQgh5nvrvOmXn5KhZ2xh17NbY6XAAAAXUr2fjxo3avXu306EoJSVFCxYssJd79uzpdDgAAAA+jYQQrDWrdmrKT5vt5ScHNnQ6HACAF46eX7x4sVJTU21M9evXdzocAAAAn8aWMVg/PvSmxm7aopV9+6p51VJOhwMAKOCE0IEDB5wORR07drSj5osVK2YnjAEAAMA5JISgNTsOKX1vgsKyMjX8ijZOhwMAcEFCKCEhwfbucTIRExwcrM6dOzv2+AAAAPgfEkLQ0zO36Ns2fXVLuQBd3a2J0+EAAApQVFSUAgIClJ6ermPHjikyMrLQY8jJybEnqoIAAADcB0dmPm713kR9u3yv/Pz9NPIfvZwOBwBQwEwyqGzZso72Edq8ebOeeuop/fLLL448PgAAAH6PhJCPe/P1qfLLydbQlpXVoEIJp8MBALhA+fLlVbRoUTvlywmzZs2yyagdO3Y48vgAAAD4PbaM+bBFM5er2xcTVCu8hPqNfs3pcAAALnLjjTcqKCjIkcc2zazXrVsnPz8/9ejRw5EYAAAA8HtUCPmw8VOW6VRgsPyqV1K9qoXfUwIAUDicSgY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      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate entropy for All Studies\n",
    "df = df[df['Year'] != 2022]\n",
    "entropy_all = df.groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n",
    "\n",
    "# Group 1: Substantive vs Methodological Studies\n",
    "entropy_substantive = df[df['Substantive'] == 1].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n",
    "entropy_methodological = df[df['Methodological'] == 1].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n",
    "\n",
    "plt.figure(figsize=(14,7))\n",
    "# Plot lines with different line styles\n",
    "plt.plot(entropy_all.index, entropy_all.values, linestyle='-', linewidth=1.5, label='All Studies')  # solid line\n",
    "plt.plot(entropy_substantive.index, entropy_substantive.values, linestyle='--', linewidth=1.5, label='Substantive Studies')  # dashed line\n",
    "plt.plot(entropy_methodological.index, entropy_methodological.values, linestyle='-.', linewidth=1.5, label='Methodological Studies')  # dash-dot line\n",
    "\n",
    "#plt.title('Entropy of Methods Applied in All, Substantive, and Methodological Studies Over Time')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Entropy')\n",
    "plt.grid(True)\n",
    "plt.gca().xaxis.set_major_formatter(mtick.StrMethodFormatter('{x:.0f}'))\n",
    "plt.legend(prop={'size': 12})\n",
    "plt.savefig('entropy_all_substantive_vs_methodological.pdf', bbox_inches='tight', format='pdf')\n",
    "plt.show()\n",
    "\n",
    "# Group 2: Core vs Peripheral Social Sciences\n",
    "entropy_core = df[df['Field'] == 'Social Science'].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n",
    "entropy_peripheral = df[df['Field'] != 'Social Science'].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods))\n",
    "\n",
    "\n",
    "plt.figure(figsize=(14,7))\n",
    "plt.plot(entropy_all.index, entropy_all.values, linestyle='-', linewidth=1.5, label='All Studies')  # solid line\n",
    "plt.plot(entropy_core.index, entropy_core.values, linestyle='--', linewidth=1.5, label='Core Social Sciences')  # dashed line\n",
    "plt.plot(entropy_peripheral.index, entropy_peripheral.values, linestyle=':', linewidth=1.5, label='Peripheral Social Sciences')  # dotted line\n",
    "\n",
    "#plt.title('Entropy of Methods Applied in All, Core, and Peripheral Social Sciences Over Time')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Entropy')\n",
    "plt.grid(True)\n",
    "plt.gca().xaxis.set_major_formatter(mtick.StrMethodFormatter('{x:.0f}'))\n",
    "plt.legend(prop={'size': 12})\n",
    "plt.savefig('entropy_all_core_vs_peripheral.pdf', bbox_inches='tight', format='pdf')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Replace commas with dots and convert to numeric, using .loc for explicit assignment\n",
    "df.loc[:, 'weight'] = df['weight'].str.replace(',', '.', regex=False)\n",
    "df.loc[:, 'weight'] = pd.to_numeric(df['weight'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/27/6d83kd8d67g9658d9cwq7n580000gn/T/ipykernel_6419/4151070864.py:29: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  entropy_all = df.groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods, 'weight'))\n",
      "/var/folders/27/6d83kd8d67g9658d9cwq7n580000gn/T/ipykernel_6419/4151070864.py:32: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  entropy_substantive = df[df['Substantive'] == 1].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods, 'weight'))\n",
      "/var/folders/27/6d83kd8d67g9658d9cwq7n580000gn/T/ipykernel_6419/4151070864.py:33: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  entropy_methodological = df[df['Methodological'] == 1].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods, 'weight'))\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/27/6d83kd8d67g9658d9cwq7n580000gn/T/ipykernel_6419/4151070864.py:52: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  entropy_core = df[df['Field'] == 'Social Science'].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods, 'weight'))\n",
      "/var/folders/27/6d83kd8d67g9658d9cwq7n580000gn/T/ipykernel_6419/4151070864.py:53: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  entropy_peripheral = df[df['Field'] != 'Social Science'].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods, 'weight'))\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Entropy with weights \n",
    "\n",
    "# Define the entropy calculation function with weighting\n",
    "def calculate_entropy_for_year(group, methods, weights_col):\n",
    "    \"\"\"\n",
    "    Calculates the entropy for a group of articles (grouped by year) based on methods used,\n",
    "    incorporating the 'weight' column for weighted probabilities.\n",
    "    \"\"\"\n",
    "    # Ensure numeric types\n",
    "    group[methods] = group[methods].apply(pd.to_numeric, errors='coerce').fillna(0)\n",
    "    group[weights_col] = pd.to_numeric(group[weights_col], errors='coerce').fillna(0)\n",
    "    \n",
    "    # Multiply methods by weights to get weighted counts\n",
    "    weighted_methods = group[methods].multiply(group[weights_col], axis=0)\n",
    "    \n",
    "    # Create a frequency count for all methods\n",
    "    method_counts = weighted_methods.sum().reindex(methods, fill_value=0)\n",
    "    \n",
    "    # Normalize the counts to get weighted probabilities\n",
    "    probabilities = method_counts / method_counts.sum()\n",
    "\n",
    "    # Convert to NumPy float array before passing to entropy\n",
    "    probabilities = np.asarray(probabilities, dtype=np.float64)\n",
    "\n",
    "    return entropy(probabilities, base=2)\n",
    "\n",
    "\n",
    "# Calculate entropy for All Studies (including weights)\n",
    "entropy_all = df.groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods, 'weight'))\n",
    "\n",
    "# Group 1: Substantive vs Methodological Studies\n",
    "entropy_substantive = df[df['Substantive'] == 1].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods, 'weight'))\n",
    "entropy_methodological = df[df['Methodological'] == 1].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods, 'weight'))\n",
    "\n",
    "plt.figure(figsize=(14,7))\n",
    "\n",
    "# Plot lines with different line styles\n",
    "plt.plot(entropy_all.index, entropy_all.values, linestyle='-', linewidth=1.5, label='All Studies')  # solid line\n",
    "plt.plot(entropy_substantive.index, entropy_substantive.values, linestyle='--', linewidth=1.5, label='Substantive Studies')  # dashed line\n",
    "plt.plot(entropy_methodological.index, entropy_methodological.values, linestyle='-.', linewidth=1.5, label='Methodological Studies')  # dash-dot line\n",
    "\n",
    "#plt.title('Entropy of Methods Applied in All, Substantive, and Methodological Studies (Weighted) Over Time')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Entropy')\n",
    "plt.grid(True)\n",
    "plt.gca().xaxis.set_major_formatter(mtick.StrMethodFormatter('{x:.0f}'))\n",
    "plt.legend(prop={'size': 12})\n",
    "plt.savefig('entropy_all_substantive_vs_methodological_weighted.pdf', bbox_inches='tight', format='pdf')\n",
    "plt.show()\n",
    "\n",
    "# Group 2: Core vs Peripheral Social Sciences\n",
    "entropy_core = df[df['Field'] == 'Social Science'].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods, 'weight'))\n",
    "entropy_peripheral = df[df['Field'] != 'Social Science'].groupby('Year').apply(lambda group: calculate_entropy_for_year(group, methods, 'weight'))\n",
    "\n",
    "plt.figure(figsize=(14,7))\n",
    "\n",
    "# Plot lines with different line styles\n",
    "plt.plot(entropy_all.index, entropy_all.values, linestyle='-', linewidth=1.5, label='All Studies')  # solid line\n",
    "plt.plot(entropy_core.index, entropy_core.values, linestyle='--', linewidth=1.5, label='Core Social Sciences')  # dashed line\n",
    "plt.plot(entropy_peripheral.index, entropy_peripheral.values, linestyle=':', linewidth=1.5, label='Peripheral Social Sciences')  # dotted line\n",
    "\n",
    "#plt.title('Entropy of Methods Applied in All, Core, and Peripheral Social Sciences (Weighted) Over Time')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Entropy')\n",
    "plt.grid(True)\n",
    "plt.gca().xaxis.set_major_formatter(mtick.StrMethodFormatter('{x:.0f}'))\n",
    "plt.legend(prop={'size': 12})\n",
    "plt.savefig('entropy_all_core_vs_peripheral_weighted.pdf', bbox_inches='tight', format='pdf')\n",
    "plt.show()\n",
    "\n",
    "# Plot: All Studies Weighted Entropy over time\n",
    "plt.figure(figsize=(14,7))\n",
    "\n",
    "# Plot the weighted entropy for All Studies with solid line\n",
    "plt.plot(entropy_all.index, entropy_all.values, linestyle='-', linewidth=1.5, label='All Studies (Weighted)')\n",
    "\n",
    "#plt.title('Entropy of Methods Applied in All Studies (Weighted) Over Time')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Entropy')\n",
    "plt.grid(True)\n",
    "plt.gca().xaxis.set_major_formatter(mtick.StrMethodFormatter('{x:.0f}'))\n",
    "plt.legend(prop={'size': 12})\n",
    "\n",
    "plt.savefig('entropy_all_weighted.pdf', bbox_inches='tight', format='pdf')\n",
    "plt.show()\n"
   ]
  }
 ],
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